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Name: Idiap

Publications of Idiap sorted by first author
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A

Exploratory Study on Direct Prediction of Diabetes using Deep Residual Networks, Samaneh Abbasi-Sureshjani, Behdad Dasht Bozorg, Bart ter Haar Romeny and Francois Fleuret, in: Proceedings of the thematic conference on computational vision and medical image processing, 2017
GLoFool: global enhancements and local perturbations to craft adversarial images, Mirko Agarla and Andrea Cavallaro, in: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024
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Vision-Language Pretraining: Current Trends and the Future, Aishwarya Agrawal, Damien Teney and Aida Nematzadeh, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2022
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Robust Audio Segmentation, Jitendra Ajmera, Iain A. McCowan and Hervé Bourlard, École Polytechnique Fédérale de Lausanne, 2004
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Robust Speaker Change Detection, Jitendra Ajmera, Iain A. McCowan and Hervé Bourlard, in: IEEE Signal Processing Letters (to appear), 2003
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A Robust Speaker Clustering Algorithm, Jitendra Ajmera and Charles Wooters, in: IEEE Automatic Speech Recognition Understanding Workshop, 2003
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Finding Audio-Visual Events in Informal Social Gatherings, Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud and Florence Forbes, in: IEEE/ACM 13th International Conference on Multimodal Interaction, 2011
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A real-time deformable detector., Karim Ali, Francois Fleuret, David Hasler and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
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Joint Pose Estimator and Feature Learning for Object Detection, Karim Ali, Francois Fleuret, David Hasler and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2009
FlowBoost - Appearance Learning from Sparsely Annotated Video, Karim Ali, David Hasler and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2011
Learning from demonstrations with partially observable task parameters, T. Alizadeh, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Hong Kong, pages 3309 - 3314, IEEE, 2014
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Framing the News: From Human Perception to Large Language Model Inferences, David Alonso del Barrio and Daniel Gatica-Perez, in: International Conference on Multimedia Retrieval (ICMR '23), June 12--15, 2023, Thessaloniki, Greece, 2023
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Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework, David Alonso del Barrio and Daniel Gatica-Perez, in: 2nd ACM International Workshop on Multimedia AI against Disinformation (MAD '23), June 12, 2023, Thessaloniki, Greece, 2023
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How Did Europe’s Press Cover Covid-19 Vaccination News? A Five-Country Analysis, David Alonso del Barrio and Daniel Gatica-Perez, in: MAD '22: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, 2022
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Classifying the Social Media Author Profile Through a Multimodal Representation, Miguel Á. Álvarez-Carmona, Esaú Villatoro-Tello, Luis Villaseñor Pineda and Manuel Montes-y-Gómez, in: Intelligent Technologies: Concepts, Applications, and Future Directions. Studies in Computational Intelligence, Springer, 2022
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BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks., Aixiu An, Chunyang Jiang, Maria A. Rodriguez, Vivi Nastase and Paola Merlo, in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
An Introduction to Vein Presentation Attacks and Detection, André Anjos, Pedro Tome and Sébastien Marcel, in: Handbook of Biometric Anti-Spoofing, Springer International Publishing, 2019
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Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers, Luis Espinosa Anke, Alexander Shvets, Alireza Mohammadshahi, James Henderson and Leo Wanner, in: Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, Seattle, USA, pages 89–100, 2022
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Segmenting Object Affordances: Reproducibility and Sensitivity to Scale, Tommaso Apicella, Alessio Xompero, Paolo Gastaldo and Andrea Cavallaro, in: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024
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Affordance segmentation of hand-occluded containers from exocentric images, Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro and Paolo Gastaldo, in: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
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Acoustic Models for Posterior Features in Speech Recognition, Guillermo Aradilla, Ecole Polytechnique Fédérale de Lausanne, 2008
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Detection and Recognition of Number Sequences in Spoken Utterances, Guillermo Aradilla and Jitendra Ajmera, in: 2nd Workshop on Speech in Mobile and Pervasive Environments (SiMPE), 2007
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Posterior-Based Features and Distances in Template Matching for Speech Recognition, Guillermo Aradilla and Hervé Bourlard, in: 4th Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI), 2007
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An Acoustic Model Based on Kullback-Leibler Divergence for Posterior Features, Guillermo Aradilla, Jithendra Vepa and Hervé Bourlard, in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2007
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Otomatik İşaret Dili Tanıma ve Türk İşaret Dili için Bilgisayar Uygulamaları, Oya Aran, Ismail Ari, Alp Kindiroglu, Pinar Santemiz and Lale Akarun, in: Ellerle Konusmak: Turk Isaret Dili Arastirmalari / Research on Turkish Sign Language, pages 471-498, Koc University Press, 2016
Broadcasting oneself: Visual Discovery of Vlogging Styles, Oya Aran, Joan-Isaac Biel and Daniel Gatica-Perez, in: IEEE Transactions on Multimedia, 16(1):201-215, 2014
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Cross-Domain Personality Prediction: From Video Blogs to Small Group Meetings, Oya Aran and Daniel Gatica-Perez, in: 15th ACM International Conference on Multimodal Interaction, 2013
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One of a Kind: Inferring Personality Impressions in Meetings, Oya Aran and Daniel Gatica-Perez, in: 15th ACM International Conference on Multimodal Interaction, 2013
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Fusing Audio-Visual Nonverbal Cues to Detect Dominant People in Conversations, Oya Aran and Daniel Gatica-Perez, in: 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010, Istanbul, Turkey, 2010
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Analysis of Group Conversations: Modeling Social Verticality, Oya Aran and Daniel Gatica-Perez, in: Computer Analysis of Human Behavior, pages 293-322, Springer London, 2011
A Multimodal Corpus for Studying Dominance in Small Group Conversations, Oya Aran, Hayley Hung and Daniel Gatica-Perez, in: LREC workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality, Malta, May 2010, 2010
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Anomaly detection in elderly daily behavior in ambient sensing environments, Oya Aran, Dairazalia Sanchez-Cortes, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: Proceedings of the 7th Int. Workshop on Human Behavior Understanding, ACM Multimedia, 2016, Amsterdam, Netherlands, 2016
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Model-based Compressive Sensing for Multi-party Distant Speech Recognition, Afsaneh Asaei, Hervé Bourlard and Volkan Cevher, in: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing, 2011
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Model-based Sparse Component Analysis for Reverberant Speech Localization, Afsaneh Asaei, Hervé Bourlard, Mohammad J. Taghizadeh and Volkan Cevher, in: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, pages 1439 - 1443, IEEE, 2014
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Perceptual Information Loss due to Impaired Speech Production, Afsaneh Asaei, Milos Cernak and Hervé Bourlard, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017
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Sparse Pronunciation Codes for Perceptual Phonetic Information Assessment, Afsaneh Asaei, Milos Cernak, Hervé Bourlard and Dhananjay Ram, in: Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017
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PAoS Markers: Trajectory Analysis of Selective Phonological Posteriors for Assessment of Progressive Apraxia of Speech, Afsaneh Asaei, Milos Cernak and Marina Laganaro, in: Proceeding on the 7th Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), 2016
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Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures, Afsaneh Asaei, Michael E. Davies, Hervé Bourlard and Volkan Cevher, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2012
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Structured Sparse Acoustic Modeling for Speech Separation, Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard and Volkan Cevher, in: Signal Processing with Adaptive Sparse Structured Representations SPARS, SPARS, 2013
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On Application Of Non-Negative Matrix Factorization for Ad Hoc Microphone Array Calibration from Incomplete Noisy Distances, Afsaneh Asaei, Nasser Mohammadiha, Mohammad J. Taghizadeh, Simon Doclo and Hervé Bourlard, in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2694-2698, IEEE, 2015
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A Multipath Sparse Beamfroming Method, Afsaneh Asaei, Bhiksha Raj, Hervé Bourlard and Volkan Cevher, in: Signal Processing with Adaptive Sparse Structured Representations SPARS, 2013
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Structured Sparse Coding for Microphone Array Location Calibration, Afsaneh Asaei, Bhiksha Raj, Hervé Bourlard and Volkan Cevher, in: SAPA-SCALE Conference, The 5th ISCA workshop on statistical and perceptual audition, 2012
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Effect of nonverbal behavioral patterns on the performance of small groups, Umut Avci and Oya Aran, in: ICMI Workshop on Understanding and Modeling Multiparty Multimodal Interactions, Istanbul, Turkey, 2014
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Social Robot Co-Design Canvases: A Participatory Design Framework, Minja Axelsson, Raquel Oliveira, Mattia Racca and V. Kyrki, in: ACM Transactions on Human-Robot Interaction, 11(1), 2022
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B

Multi-Person Visual Focus of Attention from Head Pose and Meeting Contextual Cues, Silèye O. Ba and Jean-Marc Odobez, in: IEEE Trans. on Pattern Analysis and Machine Intelligence, 33(1):101-116, 2011
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Recognizing Human Visual Focus of Attention from Head Pose in Meetings, Silèye O. Ba and Jean-Marc Odobez, in: IEEE Transactions on Systems, Man, Cybernetics, Part-B, Vol. 39(No. 1), 2009
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Multi-party Focus of Attention Recognition in Meetings from Head Pose and Multimodal Contextual Cues, Silèye O. Ba and Jean-Marc Odobez, in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2008
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Probabilistic Head Pose Tracking Evaluation in Single and Multiple Camera Setups, Silèye O. Ba and Jean-Marc Odobez, in: Classification of Events, Activities and Relationship Evaluation and Workshop, 2007
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A Study on Visual Focus of Attention Recognition from Head Pose in a Meeting Room, Silèye O. Ba and Jean-Marc Odobez, in: 3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI06), 2006
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A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking, Silèye O. Ba and Jean-Marc Odobez, in: ACM ICMI Workshop on Multimodal Multiparty Meeting Processing (MMMP), 2005
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Evaluation of Multiple Cues Head Pose Tracking Algorithm in Natural Environments, Silèye O. Ba and Jean-Marc Odobez, in: International Conference on Multimedia & Expo ICME 2005, 2005
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The 3-regular nets with 4 and 6 vertices per unit cell, M. Bader, W. E. Klee and Georg Thimm, in: Zeitschrift fur Kristallographie, 212, 1997
Probability Occupancy Maps for Occluded Depth Images, Timur Bagautdinov, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, pages 2829-2837, 2015
Image-guided topic modeling for interpretable privacy classification, Alina Elena Baia and Andrea Cavallaro, in: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024
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Black-box Attacks on Image Activity Prediction and its Natural Language Explanations, Alina Elena Baia, Valentina Poggioni and Andrea Cavallaro, in: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
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The BANCA Database and Evaluation Protocol, E. Bailly-Baillière, Samy Bengio, Frédéric Bimbot, M. Hamouz, J. Kittler, Johnny Mariéthoz, J. Matas, K. Messer, Vlad Popovici, F. Porée, B. Ruiz and Jean-Philippe Thiran, in: 4th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Springer-Verlag, 2003
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A Compressive Sensing Based Compressed Neural Network for Sound Source Localization, Mehdi Banitalebi Dehkordi, Hamid Reza Abutalebi and Hossein Ghanei, in: Proceedings of International Symposium on Artificial Intelligence and Signal Processing, 2011
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Principled Parallel Mean-Field Inference for Discrete Random Fields, Pierre Baqué, Timur Bagautdinov, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection, Pierre Baqué, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping, Pierre Baqué, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2017
Geodesic Convolutional Shape Optimization, Pierre Baqué, Edoardo Remelli, Francois Fleuret and Pascal Fua, in: Proceedings of the International Conference on Machine Learning, 2018
Multimedia event modelling and recognition, Mark Barnard, École Polytechnique Fédérale de Lausanne, 2005
Robust Playfield Segmentation using MAP Adaptation, Mark Barnard and Jean-Marc Odobez, in: Proc. 17th International Conference on Pattern Recognition (ICPR 2004), 2004
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Multi-Modal Audio-Visual Event Recognition for Football Analysis, Mark Barnard, Jean-Marc Odobez and Samy Bengio, in: Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), 2003
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The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task, James Barry, Alireza Mohammadshahi, Joachim Wagner, Jennifer Foster and James Henderson, in: Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies, Online, pages 204-212, Association for Computational Linguistics, 2021
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Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders, Kevin Bascol, Remi Emonet, Elisa Fromont and Jean-Marc Odobez, in: IAPR Int. Workshops on Structural and Syntactic Pattern Recognition (SSPR), 2016
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An Integrated and strategic evaluation of automatic blind controls to achieve energy and occupant's comfort objectives, Chantal Basurto and Jérôme Kämpf, in: Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization (Virtual), Loughborough, UK, 2020
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Neural Networks in Automatic Speech Recognition, F. Beaufays, Hervé Bourlard, H. Franco and Nelson Morgan, in: to be published in The Handbook of Brain Theory and Neural Networks, Bradford Books, The MIT Press, 2000
Lexical filtrering by means of prosodic information, Frédéric Béchet, Philippe Langlais and Henri Méloni, in: International Congress of Phonetic Sciences, 1995
Learning to Abstract with Nonparametric Variational Information Bottleneck, Melika Behjati, Fabio Fehr and James Henderson, in: The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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Do Backpropagation trained neural networks have normal weight distributions?, I Bellido and Emile Fiesler, in: International Conference on Artificial neural Networks, 1993
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Feature Representations for Automatic Meerkat Vocalization Classification, Imen Ben Mahmoud, Eklavya Sarkar, Marta Manser and Mathew Magimai.-Doss, in: 4th International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, 2024
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Multi-Commodity Network Flow for Tracking Multiple People, Horesh Ben Shitrit, Jerome Berclaz, Francois Fleuret and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Tracking Multiple Objects under Global Appearance Constraints, Horesh Ben Shitrit, Jerome Berclaz, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2011
Multi-Modal Data Fusion for Person Authentication using SVM, Souheil Ben-Yacoub, in: Proc. Second International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA'99), 1999
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Fast Face Detection using MLP and FFT, Souheil Ben-Yacoub, B. Fasel and Juergen Luettin, in: Proc. Second International Conference on Audio and Video-based Biometric Person Authentication (AVBPA'99), 1999
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Audio-Visual Person Verification, Souheil Ben-Yacoub, Juergen Luettin, K. Jonsson, J. Matas and J. Kittler, in: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 1999, Fort Collins, USA, 1999
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Multimodal Authentication using Asynchronous HMMs, Samy Bengio, in: 4th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Springer-Verlag, 2003
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An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition, Samy Bengio, in: Advances in Neural Information Processing Systems, NIPS 15, MIT Press, 2003
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Taking on the Curse of Dimensionality in Joint Distributions Using Neural Networks, Samy Bengio and Yoshua Bengio, in: IEEE Transaction on Neural Networks special issue on data mining and knowledge discovery, 2000
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Biometric Person Authentication IS A Multiple Classifier Problem, Samy Bengio and Johnny Mariéthoz, in: 7th International Workshop on Multiple Classifier Systems, MCS, 2007
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The Expected Performance Curve: a New Assessment Measure for Person Authentication, Samy Bengio and Johnny Mariéthoz, in: Proceedings of Odyssey 2004: The Speaker and Language Recognition Workshop, 2004
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A Statistical Significance Test for Person Authentication, Samy Bengio and Johnny Mariéthoz, in: Proceedings of Odyssey 2004: The Speaker and Language Recognition Workshop, 2004
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Learning the Decision Function for Speaker Verification, Samy Bengio and Johnny Mariéthoz, in: IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2001
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The Expected Performance Curve, Samy Bengio, Johnny Mariéthoz and Mikaela Keller, in: International Conference on Machine Learning, ICML, Workshop on ROC Analysis in Machine Learning, 2005
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Venues in Social Media: Examining Ambiance Perception Through Scene Semantics, Yassir Benkhedda, Darshan Santani and Daniel Gatica-Perez, in: Proceedings of the 25th ACM International Conference on Multimedia, ACM, 2017, 2017
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Joint Speech and Speaker Recognition, Mohamed Faouzi BenZeghiba, École Polytechnique Fédérale de Lausanne, Computer Science Department, 2005
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Confidence Measures in Multiple pronunciations Modeling For Speaker Verification, Mohamed Faouzi BenZeghiba and Hervé Bourlard, in: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04), 2004
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Posteriori Probabilities and Likelihoods Combination for Speech and Speaker Recognition, Mohamed Faouzi BenZeghiba and Hervé Bourlard, in: International Conference on Spoken Language Processing (ICSLP~2004), 2004
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Hybrid HMM/ANN and GMM Combination for User-Customized Password Speaker Verification, Mohamed Faouzi BenZeghiba and Hervé Bourlard, in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003
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On the Combination of Speech and Speaker Recognition, Mohamed Faouzi BenZeghiba and Hervé Bourlard, in: European Conference On Speech, Communication and Technology (EUROSPEECH'03), 2003
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User-Customized Password HMM Based Speaker Verification, Mohamed Faouzi BenZeghiba and Hervé Bourlard, in: Proceedings of the COST275 Workshop on the Advent of Biometrics on the Internet, 2002
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User-Customized Password Speaker Verification based on HMM/ANN and GMM Models, Mohamed Faouzi BenZeghiba and Hervé Bourlard, in: International Conference on Spoken Language Processing (ICSLP~2002), 2002
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Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps, Jerome Berclaz, Francois Fleuret and Pascal Fua, in: proceedings of the European Conference on Computer Vision, 2008
Principled Detection-by-classification from Multiple Views, Jerome Berclaz, Francois Fleuret and Pascal Fua, in: proceedings of the International Conference on Computer Vision Theory and Applications, 2008
Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems, Jerome Berclaz, Ali Shahrokni, Francois Fleuret, James Ferryman and Pascal Fua, in: Proceedings of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009
Multiple Object Tracking using K-Shortest Paths Optimization, Jerome Berclaz, Engin Turetken, Francois Fleuret and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
Dynamic Graffiti Stylisation with Stochastic Optimal Control, D. Berio, Sylvain Calinon and F. F. Leymarie, in: Intl Workshop on movement and computing (MOCO), London, UK, pages 1-8, ACM, 2017
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Generating Calligraphic Trajectories with Model Predictive Control, D. Berio, Sylvain Calinon and F. F. Leymarie, in: Proc. 43rd Conf. on Graphics Interface, Edmonton, AL, Canada, pages 132-139, 2017
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Learning dynamic graffiti strokes with a compliant robot, D. Berio, Sylvain Calinon and F. F. Leymarie, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, pages 3981-3986, 2016
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Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures, D. Berio, F. F. Leymarie and Sylvain Calinon, in: Mixture Models and Applications, pages 23-38, Springer, 2019
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Confidence Measures in Hybrid HMM/ANN Speech Recognition, Giulia Bernardis and Hervé Bourlard, in: Proceedings of Workshop on Text, Speech and Dialog (TSD'98) Brno, Czech Republic, 1998
Improving Posterior Based Confidence Measures in Hybrid HMM/ANN Speech Recognition Systems, Giulia Bernardis and Hervé Bourlard, in: Proceedings of International Conference on Spoken Language Processing (ICSLP'98) Sydney, Australia, 1998
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A measure of speech and pitch reliability from voicing, Frédéric Berthommier and Hervé Glotin, in: Proc. Int. Joint Conf. on Artificial Intelligence (IJCAI), Scandinavian AI Society, 1999
A new SNR-feature mapping for robust multistream speech recognition, Frédéric Berthommier and Hervé Glotin, in: Proc. Int. Congress on Phonetic Sciences (ICPhS), 1999
Optimisation de réseaux de neurones, Jean-Luc Beuchat, {EPFL}, Lausanne, Switzerland, 1995
An End-to-End Multilingual System for Automatic Minuting of Multi-Party Dialogues, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh and Petr Motlicek, in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36) , In proceedings of ACL Anthology, 2022
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Idiap at MediaEval 2013: Search and Hyperlinking Task, Chidansh A. Bhatt, Nikolaos Pappas, Maryam Habibi and Andrei Popescu-Belis, in: MediaEval 2013 Workshop, Barcelona, Spain, CEUR-WS.org, 2013
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Audiovisual Summarization of Lectures and Meetings Using a Segment Similarity Graph, Chidansh A. Bhatt, Andrei Popescu-Belis and Matthew Cooper, in: Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR), ACM, New York, NY, ACM Press, 2016
CONTEXTUAL BIASING METHODS FOR IMPROVING RARE WORD DETECTION IN AUTOMATIC SPEECH RECOGNITION, Mrinmoy Bhattacharjee, Nigmatulina Iuliia, Amrutha Prasad, Pradeep Rangappa, Srikanth Madikeri, Petr Motlicek, Hartmut Helmke and Matthias Kleinert, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Korea, 2024
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Vascular Biometrics Experiments on Candy -- A New Contactless Finger-Vein Dataset, Sushil Bhattacharjee, David Geissbuhler, G. Clivaz, Ketan Kotwal and Sébastien Marcel, in: Proceedings of the International Conference on Pattern Recognition (ICPR), Calcutta (India), 2024
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What you can't see can help you -- extended-range imaging for 3D-mask presentation attack detection, Sushil Bhattacharjee and Sébastien Marcel, in: Proceedings of the 16th International Conference on Biometrics Special Interest Group., Darmstadt (Germany), Gesellschaft fuer Informatik e.V. (GI), 2017
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HMIST: Hierarchical Multilingual Isometric Speech Translation using Multi-Task Learning Framework for Automatic Dubbing, Nidhir Bhavsar, Aakash Bhatnagar, Muskaan Singh and Petr Motlicek, in: PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION (PACLIC 2022), In Proceedings of ACL Anthology, 2022
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You Are Known by How You Vlog: Personality Impressions and Nonverbal Behavior in YouTube, Joan-Isaac Biel, Oya Aran and Daniel Gatica-Perez, in: Proceedings of AAAI International Conference on Weblogs and Social Media, Barcelona, 2011
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The Good, the Bad, and the Angry: Analyzing Crowdsourced Impressions of Vloggers, Joan-Isaac Biel and Daniel Gatica-Perez, in: Proceedings of AAAI International Conference on Weblogs and Social Media, 2012
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VlogSense: Conversational Behavior and Social Attention in YouTube, Joan-Isaac Biel and Daniel Gatica-Perez, in: Transactions on Multimedia Computing, Communications and Applications, 2011
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Voices of Vlogging, Joan-Isaac Biel and Daniel Gatica-Perez, in: Proceedings of AAAI International Conference on Weblogs and Social Media, Washington DC, 2010
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Vlogcast Yourself: Nonverbal Behavior and Attention in Social Media, Joan-Isaac Biel and Daniel Gatica-Perez, in: Proceedings International Conference on Multimodal Interfaces (ICMI-MLMI), 2010
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Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior, Joan-Isaac Biel and Daniel Gatica-Perez, in: Proceedings of the 17th ACM International Conference on Multimedia, ACM, 2009
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Hi YouTube! Personality Impressions and Verbal Content in Social Video, Joan-Isaac Biel, Daniel Gatica-Perez, John Dines and Vagia Tsminiaki, in: 15th ACM International Conference on Multimodal Interaction, Sydney, Australia, ACM, 2013, 2013
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Bites'n'Bits: Inferring Eating Behavior from Contextual Mobile Data, Joan-Isaac Biel, Nathalie Martin, David Labbe and Daniel Gatica-Perez, in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT), 1(4):125-157, 2017
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Whole-Body Ergodic Exploration with a Manipulator Using Diffusion, Cem Bilaloglu, Tobias Löw and Sylvain Calinon, in: IEEE Robotics and Automation Letters, 8(12):8581-8587, 2023
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Learning From Humans, A. G. Billard, Sylvain Calinon and R. Dillmann, in: Handbook of Robotics, pages 1995-2014, Springer, 2016
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An overview of the cave project research activities in speaker verification, Frédéric Bimbot, H. P. Hutter, Cédric Jaboulet, Johan Koolwaaij, Johan Lindberg and J. B. Pierrot, in: Reconnaissance du locuteur et ses applications commerciales et criminalistiques, 1998
Speaker Verification in the Telephone Network : Research Activities in the CAVE Project, Frédéric Bimbot, H. P. Hutter, Cédric Jaboulet, Johan Koolwaaij, Johan Lindberg and J. B. Pierrot, in: Proceedings of the European Conference on Speech Communication and Technology (EUROSPEECH'97), 1997
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Bayesian Recurrent Units and the Forward Backward Algorithm, Alexandre Bittar and Philip N. Garner, in: Proc. Interspeech 2022, pages 4137-4141, 2022
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A Bayesian Interpretation of the Light Gated Recurrent Unit, Alexandre Bittar and Philip N. Garner, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
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Intuitive Robot Programming, C. Blanc, Julius Jankowski, A. Sonderegger, Sylvain Calinon and S. Dégallier Rochat, in: Ergonomics in Robotics: Advances and Innovations, Springer, 2025
Cost–effective Variational Active Entity Resolution, Alex Bogatu, Norman Paton, Mark Douthwaite, Stuart Davie and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2021
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YOU ARE FIRED! NONVERBAL ROLE ANALYSIS IN COMPETITIVE MEETINGS, Raducanu Bogdan, Vitria J. and Daniel Gatica-Perez, in: Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP,',','), Taiwan., 2009
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Traitement de la Parole, R. Boite, Hervé Bourlard, T. Dutoit, J. Hancq and H. Leich, Presses Polytechniques Universitaires Romandes, 2000
Secured vocal access to telephone servers, Olivier Bornet, Gérard Chollet, Jean-Luc Cochard, Andrei Constantinescu and Dominique Genoud, in: Proceedings of IVTTA 1996 IEEE Third Workshop Interactive Voice Technology for Telecommunications Applications, 1996
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Non-Stationary Multi-Channel (Multi-Stream) Processing Towards Robust and Adaptive ASR, Hervé Bourlard, in: Proc. of the ESCA Workshop on Robust Methods for Speech Recognition in Adverse Conditions, 1999
Connectionist speech recognition, Hervé Bourlard, in: Proceedings of IK'98, Interdisziplinares Kolleg, Spring Scholl, Gunne am Mohnessee, Germany, March 7--14, 1998
Hidden Markov Models and other Finite State Automata for Sequence Processing, Hervé Bourlard and Samy Bengio, in: The Handbook of Brain Theory and Neural Networks: The Second Edition, The MIT Press, 2002
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New Approaches Towards Robust and Adaptive Speech Recognition, Hervé Bourlard, Samy Bengio and Katrin Weber, in: Advances in Neural Information Processing Systems 13, MIT Press, 2001
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Towards Robust and Adaptive Speech Recognition Models, Hervé Bourlard, Samy Bengio and Katrin Weber, in: Mathematical Foundations of Speech Processing and Recognition, Springer-Verlag, 2002
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Subband-Based Speech Recognition, Hervé Bourlard and Stéphane Dupont, in: IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, 1997
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State-of-the-Art and Recent Progress in Hybrid HMM/ANN Speech Recognition, Hervé Bourlard, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'97), Springer-Verlag, 1997
Autoencoders Reloaded, Hervé Bourlard and Selen Hande Kabil, in: Springer Biological Cybernetics, 2022
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Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions, Hervé Bourlard and Nelson Morgan, in: International School on Neural Nets: Adaptive Processing of Temporal Information, Springer Verlag, 1997
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Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions, Hervé Bourlard and Nelson Morgan, in: Adaptive Processing of Sequences and Data Structures, Springer Verlag, 1998
A Minimum-Jerk Approach to Handle Singularities in Virtual Fixtures, G. Braglia, Sylvain Calinon and L. Biagiotti, in: IEEE Robotics and Automation Letters (RA-L), 9(11):10256-10263, 2024
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A COMPARISON OF METHODS FOR OOV-WORD RECOGNITION ON A NEW PUBLIC DATASET, Rudolf Braun, Srikanth Madikeri and Petr Motlicek, in: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, Toronto, Ontario, Canada, 2021
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Finding Lines Under Bounded Error, Thomas M. Breuel, in: Pattern Recognition, 29(01), 1996
Handwriting Recognition, Thomas M. Breuel, in: Second Asian Conference on Computer Vision (ACCV'95,',','), Singapore, 1995
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Augmenting Astronaut's Capabilities through Brain-Machine Interfaces, M. Broschart, Christina de Negueruela, José del R. Millán and C. Menon, in: Proceedings of the 20th International Joint Conference on Artificial Intelligence, Workshop on Artificial Intelligence for Space Applications, 2007
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Null space redundancy learning for a flexible surgical robot, D. Bruno, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Hong Kong, pages 2443 - 2448, IEEE, 2014
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Learning adaptive movements from demonstration and self-guided exploration, D. Bruno, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE Intl Conf. on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), Genoa, Italy, pages 160-165, 2014
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Two Simple and Domain-independent Approaches for Early Detection of Anorexia, Sergio Burdisso, Leticia Cagnina, Marcelo Errecalde and Manuel Montes-y-Gómez, in: Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project, pages 159-182, Springer International Publishing, 2022
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DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews, Sergio Burdisso, Ernesto A. Reyes-Ramírez, Esaú Villatoro-Tello, Fernando Sánchez-Vega, A. Pastor López-Monroy and Petr Motlicek, in: Proceedings of the 6th Clinical Natural Language Processing Workshop, Mexico City, Mexico, pages 82–90, Association for Computational Linguistics, 2024
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Online Classifier Adaptation in High Frequency EEG, Anna Buttfield, Pierre W. Ferrez and José del R. Millán, in: Proceedings of the 3rd International Brain-Computer Interface Workshop & Training Course 2006, 2006
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Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control, Sylvain Calinon, in: IEEE Robotics and Automation Magazine (RAM), 2020
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Stochastic learning and control in multiple coordinate systems, Sylvain Calinon, in: Intl Workshop on Human-Friendly Robotics, Genoa, Italy, pages 1-5, 2016
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Robot Learning with Task-Parameterized Generative Models, Sylvain Calinon, in: Proc. Intl Symp. on Robotics Research, 2015
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Skills Learning in Robots by Interaction with Users and Environment, Sylvain Calinon, in: In Proc. of the Intl Conf. on Ubiquitous Robots and Ambient Intelligence (URAI), Kuala Lumpur, Malaysia, pages 161-162, 2014
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Learning from Demonstration (Programming by Demonstration), Sylvain Calinon, in: Encyclopedia of Robotics, Springer, 2019
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Robot Learning with Task-Parameterized Generative Models, Sylvain Calinon, in: Robotics Research, pages 111-126, Springer, 2018
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Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series, Sylvain Calinon, in: Mixture Models and Applications, pages 39-57, Springer, 2019
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A task-parameterized probabilistic model with minimal intervention control, Sylvain Calinon, D. Bruno and D. G. Caldwell, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Hong Kong, pages 3339 - 3344, IEEE, 2014
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Programming industrial robots from few demonstrations., Sylvain Calinon, in: Human-Robot Collaboration: Unlocking the potential for industrial applications, pages 9-37, Institution of Engineering and Technology (IET), 2023
Learning Control, Sylvain Calinon and D. Lee, in: Humanoid Robotics: a Reference, pages 1261-1312, Springer, 2019
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Voice-B System, Gilles Caloz, Cédric Jaboulet, Johnny Mariéthoz, A. Glaeser and Dominique Genoud, in: IEEE 4th Workshop on Intercative Voice Technology for Telecommunications Applications (IVTTA'98) September 29--30, Torino, Italy, 1998
Estimating the Intrinsic Dimension of Data with a Fractal-Based Method, Francesco Camastra and Alessandro Vinciarelli, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(10), 2002
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Maya Codical Glyph Segmentation: A Crowdsourcing Approach, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: IEEE Transactions on Multimedia, 20(3):711-725, 2018
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How to Tell Ancient Signs Apart? Recognizing and Visualizing Maya Glyphs with CNNs, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: ACM Journal on Computing and Cultural Heritage (JOCCH), 11(4):20, 2018
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Shape Representations for Maya Codical Glyphs: Knowledge-driven or Deep?, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: 15th International Workshop on Content-Based Multimedia Indexing, 2017
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Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning, Gulcan Can, École Polytechnique Fédérale de Lausanne, 2017
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Evaluating Shape Representations for Maya Glyph Classification, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: ACM Journal on Computing and Cultural Heritage (JOCCH), 9(3), 2016
Is That a Jaguar? Segmenting Ancient Maya Glyphs via Crowdsourcing, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: Proc. ACM Int. Workshop on Crowdsourcing for Multimedia, Orlando, pages 37-40, ACM New York, 2014
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Object Detection with Active Sample Harvesting, Olivier Canévet, École Polytechnique Fédérale de Lausanne, 2017
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Large Scale Hard Sample Mining with Monte Carlo Tree Search, Olivier Canévet and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016
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Efficient Sample Mining for Object Detection, Olivier Canévet and Francois Fleuret, in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014
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The MuMMER data set for Robot Perception in multi-party HRI Scenarios, Olivier Canévet, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: Proceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication, 2020
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Importance Sampling Tree for Large-scale Empirical Expectation, Olivier Canévet, Cijo Jose and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning (ICML), New-York, 2016
Sample Distillation for Object Detection and Image Classification, Olivier Canévet, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014
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Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation, Yuanzhouhan Cao, Olivier Canévet and Jean-Marc Odobez, in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, SPAIN, pages 1089-1094, IEEE, 2018
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Class specific object recognition using kernel Gibbs distributions, Barbara Caputo, in: ELectronic Letters on Computer vision and Image Analysis, 7(2), 2008
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Spin Glass Models of Markov Random Fields, Barbara Caputo, in: International Journal on Image, Systems and Technology, 16(5), 2006
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Medical image annotation, Barbara Caputo, in: Interactive Multimodal Information Management, EPFL Press, 2013
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Classifying Material in the Real World, Barbara Caputo, Eric Hayman, Mario Fritz and J-O Ekluhnd, in: Image and vision Computing, accepted for pub, 2009
Overview of the ImageCLEF 2014 Domain Adaptation Task, Barbara Caputo and Novi Patricia, in: ImageCLEF 2014: Overview and analysis of the results, 2014
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Face Authentication Based on Local Features and Generative Models, Fabien Cardinaux, École Polytechnique Fédérale de Lausanne, 2005
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Face Verification using MLP and SVM, Fabien Cardinaux and Sébastien Marcel, in: XI Journees NeuroSciences et Sciences pour l'Ingenieur (NSI 2002), 2002
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Face Verification Using Adapted Generative Models, Fabien Cardinaux, Conrad Sanderson and Samy Bengio, in: The 6th International Conference on Automatic Face and Gesture Recognition, FG2004, IEEE, 2004
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Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS, Fabien Cardinaux, Conrad Sanderson and Sébastien Marcel, in: 4th International Conference on AUDIO- and VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, 2003
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Understanding Metro Station Usage using Closed Circuit Television Cameras Analysis, C. Carincotte, Xavier Naturel, M. Hick, Jean-Marc Odobez, Jian Yao, A. Bastide and B. Corbucci, in: 11th International IEEE Conference on Intelligent Transportation Systems (ITSC), Bejing, 2008
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Extracting Directional and Comparable Corpora from a Multilingual Corpus for Translation Studies, Bruno Cartoni and Thomas Meyer, in: Proceedings of the eighth international conference on Language Resources and Evaluation (LREC), Istanbul, TR, pages 6, 2012
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Building 'directional corpora' for unbiased contrastive analysis, Bruno Cartoni and Thomas Meyer, in: Proceedings of Corpus Linguistics Conference, Birmingham, UK, pages 29-30, 2011
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How Comparable are Parallel Corpora? Measuring the Distribution of General Vocabulary and Connectives, Bruno Cartoni, Sandrine Zufferey, Thomas Meyer and Andrei Popescu-Belis, in: Proceedings of 4th Workshop on Building and Using Comparable Corpora, ACL, Portland, OR, pages 78--86, 2011
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Learning Disentangled Representations for Natural Language Definitions, Danilo Carvalho, Giangiacomo Mercatali, Yingji Zhang and Andre Freitas, in: In Findings of the European chapter of Association for Computational Linguistics, 2023
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A Generative Model for Music Transcription, A. T. Cemgil, B. Kappen and David Barber, in: IEEE Transactions on Speech and Audio Processing, 2004
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Incremental Syllable-Context Phonetic Vocoding, Milos Cernak, Philip N. Garner, Alexandros Lazaridis, Petr Motlicek and Xingyu Na, in: IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 23(6), 2015
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An Empirical Model of Emphatic Word Detection, Milos Cernak and Pierre-Edouard Honnet, in: Proc. of Interspeech, Dresden, Germany, pages 573-577, ISCA, 2015
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Robust triphone mapping for acoustic modeling, Milos Cernak, David Imseng and Hervé Bourlard, in: Proceedings of Interspeech, Portland, Oregon, 2012
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On the (Un)importance of the Contextual Factors In HMM-Based Speech Synthesis, Milos Cernak, Petr Motlicek and Philip N. Garner, in: Proceedings of the IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, pages 8140 - 8143, 2013
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Phonological Vocoding Using Artificial Neural Networks, Milos Cernak, Blaise Potard and Philip N. Garner, in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pages 4844-4848, IEEE, 2015
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NASAL SPEECH SOUNDS DETECTION USING CONNECTIONIST TEMPORAL, Milos Cernak and Sibo Tong, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2018
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Intensity-Based Point-Spread-Function-Aware Registration for Multi-View Applications in Optical Microscopy, Nikhil Chacko, Kevin G. Chan and Michael Liebling, in: Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, pages 306-309, IEEE, 2015
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Estimation of Divergence-Free 3D Cardiac Blood Flow in a Zebrafish Larva Using Multi-View Microscopy, Kevin G. Chan and Michael Liebling, in: Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, IEEE, Brooklyn, NY, USA, pages 385-388, 2015
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To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces, Ricardo Chavarriaga, Pierre W. Ferrez and José del R. Millán, in: 1st International Conference on Cognitive Neurodynamics (ICCN 2007), 2007
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WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection, Tatjana Chavdarova, Pierre Baqué, Andrii Maksai, Stéphane Bouquet, Cijo Jose, Louis Lettry, Francois Fleuret, Pascal Fua and Luc Van Gool, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 5030-5039, 2018
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SGAN: An Alternative Training of Generative Adversarial Networks, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 9407-9415, IEEE, 2018
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Deep Multi-Camera People Detection, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE International Conference on Machine Learning and Applications, 2017
Reducing Noise in GAN Training with Variance Reduced Extragradient, Tatjana Chavdarova, Gauthier Gidel, Francois Fleuret and Simon Lacoste-Julien, in: Proceedings of the international conference on Neural Information Processing Systems, 2019
Stochastic Variance Reduced Gradient Optimization of Generative Adversarial Networks, Tatjana Chavdarova, Sebastian Stich, Martin Jaggi and Francois Fleuret, in: International Conference on Machine Learning (ICML) workshop on Theoretical Foundations and Applications of Deep Generative Models, 2018
International Conference on Mobile and Ubiquitous Multimedia, Gilberto Chávez-Martínez, Salvador Ruiz-Correa and Daniel Gatica-Perez, in: Happy and Agreeable? Multi-Label Classification of Impressions in Social Video, Linz, Austria, pages 109-120, ACM, 2015
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Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor, Cheng Chen, in: IEEE Transactions on Visualization and Computer Graphics, 17(11):1676-1689, 2011
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A Joint Estimation of Head and Body Orientation Cues in Surveillance Video, Cheng Chen, Alexandre Heili and Jean-Marc Odobez, in: IEEE International Workshop on Socially Intelligent Surveillance and Monitoring, 2011
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Text detection and recognition in images and video sequences, Datong Chen, École Polytechnique Fédérale de Lausanne, 2003
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Text Identification in Complex Background using SVM, Datong Chen, Hervé Bourlard and Jean-Philippe Thiran, in: Proceedings of the Int. Conf. on computer vision and pattern recognition, 2001
Multiple Hypotheses Video OCR, Datong Chen and Juergen Luettin, in: Proceedings of the 4th International Workshop on Document Analysis System, 2000
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Monte Carlo Video Text Segmentation, Datong Chen, Jean-Marc Odobez and Jean-Philippe Thiran, in: International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 19(5), 2005
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Text Enhancement with Asymmetric Filter for Video OCR, Datong Chen, Kim Shearer and Hervé Bourlard, in: Proceedings of the 11th International Conference on Image Analysis and Processing, 2001
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Video OCR for Sport Video Annotation and Retrieval, Datong Chen, Kim Shearer and Hervé Bourlard, in: Proceedings of the 8th IEEE International Conference on Mechatronics and Machine Vision in Practice, 2001
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Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting, Haolin Chen and Philip N. Garner, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
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Diffusion Transformer for Adaptive Text-to-Speech, Haolin Chen and Philip N. Garner, in: Proc. 12th ISCA Speech Synthesis Workshop (SSW 12), 2023
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Head Nod Detection from a Full 3D Model, Yiqiang Chen, Yu Yu and Jean-Marc Odobez, in: Proceedings of the ICCV 2015, pages 528-536, 2015
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Generative Independent Component Analysis for EEG Classification, Silvia Chiappa and David Barber, in: European Symposium on Artificial Neural Networks ESANN, 2005
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Generative Temporal ICA for Classification in Asynchronous BCI Systems, Silvia Chiappa and David Barber, in: The 2nd International IEEE EMBS Conference On Neural Engineering, 2005
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HMM and IOHMM Modeling of EEG Rhythms for Asynchronous BCI Systems, Silvia Chiappa and Samy Bengio, in: European Symposium on Artificial Neural Networks ESANN, 2004
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On the use of client identity information for face anti-spoofing, Ivana Chingovska and André Anjos, in: IEEE Transactions on Information Forensics and Security, Special Issue on Biometric Anti-spoofing, 10(4):787-796, 2015
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Biometrics Evaluation Under Spoofing Attacks, Ivana Chingovska, André Anjos and Sébastien Marcel, in: IEEE Transactions on Information Forensics and Security, 9(12):2264-2276, 2014
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Anti-spoofing in action: joint operation with a verification system, Ivana Chingovska, André Anjos and Sébastien Marcel, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Biometrics, Portland, Oregon, 2013
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On the Effectiveness of Local Binary Patterns in Face Anti-spoofing, Ivana Chingovska, André Anjos and Sébastien Marcel, in: Proceedings of the 11th International Conference of the Biometrics Special Interes Group, 2012
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Evaluation Methodologies, Ivana Chingovska, André Anjos and Sébastien Marcel, in: Handbook of Biometric Antispoofing, Springer, 2014
Exploiting observers' judgements for nonverbal group interaction analysis, Gokul Chittaranjan, Oya Aran and Daniel Gatica-Perez, in: IEEE Conference on Automatic Face and Gesture Recognition, pages 6, IEEE, 2011
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Inferring truth from multiple annotators for social interaction analysis, Gokul Chittaranjan, Oya Aran and Daniel Gatica-Perez, in: Neural Information Processing Systems (NIPS) Workshop on Modeling Human Communication Dynamics (HCD), pages 4, 2011
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Are you a Werewolf? Detecting deceptive roles and outcomes in a conversational role-playing game, Gokul Chittaranjan and Hayley Hung, in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
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Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network, Seunjin Choi, H. Hong, Hervé Glotin and Frédéric Berthommier, in: Int. Conf. on Spoken Language Processing (ICSLP), no IDIAP RR, see RESPITE www, 2000
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Assessment of speaker verification systems, Gérard Chollet and Frédéric Bimbot, in: Spoken Language Ressources and Assessment, EAGLES Handbook, 1995
Discrimination of the voices of twins and siblings for speaker verification, Gérard Chollet and M. Homayounpour, in: 4th European Conference on Speech Communication and Technology, 1995
Automatic Word Recognition in Cars, Gérard Chollet and Chafic Mokbel, in: IEEE Speech and Audio Processing, 1995
Vibrotactile Feedback in the Context of Mu-Rhythm based BCI, F. Cincotti, L. Kauhanen, F. Aloise, T. Palomäki, N. Caporusso, P. Jylänki, D. Mattia, F. Babiloni, G. Vanacker, Marnix Nuttin, M. G. Marciani and José del R. Millán, in: Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
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Environnement multi-agents de reconnaissance automatique de la parole en continu, Jean-Luc Cochard and Philippe Froidevaux, in: Actes des 3emes Journees Francophones sur l'Intelligence Artificielle Distribuee et les Systemes Multi-agents, 1995
A graphical tool for monitoring Oz objects activity, Jean-Luc Cochard and Dinh Van Linh Nguyen, in: Proc. of WOz'95: International Workshop on Oz Programming, IDIAP, Uni. Fribourg, 1995
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On the detection of morphing attacks generated by GANs, Laurent Colbois and Sébastien Marcel, in: 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022), 2022
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Deep Learning for Efficient Discriminative Parsing, Ronan Collobert, in: International Conference on Artificial Intelligence and Statistics, 2011
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Large Scale Machine Learning, Ronan Collobert, Université de Paris VI, 2004
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A Gentle Hessian for Efficient Gradient Descent, Ronan Collobert and Samy Bengio, in: IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004
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Links Between Perceptrons, MLPs and SVMs, Ronan Collobert and Samy Bengio, in: International Conference on Machine Learning, ICML, 2004
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A Parallel Mixture of SVMs for Very Large Scale Problems, Ronan Collobert, Samy Bengio and Yoshua Bengio, in: Advances in Neural Information Processing Systems, NIPS 14, MIT Press, 2002
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Scaling Large Learning Problems with Hard Parallel Mixtures, Ronan Collobert, Yoshua Bengio and Samy Bengio, in: International Journal on Pattern Recognition and Artificial Intelligence (IJPRAI), 17(3), 2003
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Scaling Large Learning Problems with Hard Parallel Mixtures, Ronan Collobert, Yoshua Bengio and Samy Bengio, in: International Workshop on Pattern Recognition with Support Vector Machines, SVM'2002, 2002
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Heterogeneous Face Recognition Using Domain Specific Units, Tiago de Freitas Pereira, André Anjos and Sébastien Marcel, in: IEEE Transactions on Information Forensics and Security:13, 2019
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Fairness in Biometrics: a figure of merit to assess biometric verification systems, Tiago de Freitas Pereira and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021
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Heterogeneous Face Recognition using Inter-Session Variability Modelling, Tiago de Freitas Pereira and Sébastien Marcel, in: IEEE Computer Society Workshop on Biometrics, Las Vegas - USA, IEEE, 2016
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Decision-Oriented Environmental Mapping with Radial Basis Function Neural Networks, V. Demyanov, Nicolas Gilardi, Mikhail Kanevski, Michel Maignan and V. Polishchuk, in: Intelligent techniques for Spatio-Temporal Data Analysis in Environmental Applications. Workshop W07, 1999
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INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION, Subhadeep Dey, Srikanth Madikeri and Petr Motlicek, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5580-5584, IEEE, 2016
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EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION, Subhadeep Dey, Petr Motlicek, Srikanth Madikeri and Marc Ferras, in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, pages 5370-5374, 2017
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Floor Holder Detection and End of Speaker Turn Prediction in Meetings, Alfred Dielmann, Giulia Garau and Hervé Bourlard, in: International Conference on Speech and Language Processing, Interspeech, Makuhari, Japan, ISCA, 2010
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Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-based Speech Recognition, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Speech Communication: Special Issue on Advances in Sparse Modeling and Low-rank Modeling for Speech Processing, 76:230–244, 2016
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Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-Based Speech Recognition, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015
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Dictionary Learning for Sparse Representation of Neural Network Exemplars in Speech Recognition, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015, pages 1093, 2015
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Modeling Overlapping Speech using Vector Taylor Series, Pranay Dighe, Marc Ferras and Hervé Bourlard, in: Odyssey: The Speaker and Language Recognition Workshop, Joensuu, Finland, 2014
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Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition, Pranay Dighe, Gil Luyet, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5690-5694, IEEE, 2016
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Ensembles for Sequence Learning, Christos Dimitrakakis, École Polytechnique Fédérale de Lausanne, 2006
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Nearly optimal exploration-exploitation decision thresholds, Christos Dimitrakakis, in: Int. Conf. on Artificial Neural Networks (ICANN), 2006
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Gradient estimates of return distributions, Christos Dimitrakakis and Samy Bengio, in: PASCAL Workshop on Principled Methods of Trading Exploration and Exploitation, 2005
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Online Policy Adaptation for Ensemble Classifiers, Christos Dimitrakakis and Samy Bengio, in: 12th European Symposium on Artificial Neural Networks, ESANN 04, 2004
The segmentation of multi-channel meeting recordings for automatic speech recognition, John Dines, Jithendra Vepa and Thomas Hain, in: Int. Conf. on Spoken Language Processing (Interspeech ICSLP), 2006
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Regularized Bundle Methods for Convex and Non-Convex Risks, Trinh-Minh-Tri Do and Thierry Artieres, in: Journal of Machine Learning Research, 13:3539-3583, 2012
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Neural conditional random fields, Trinh-Minh-Tri Do and Thierry Artieres, in: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Chia Laguna, Sardinia, Italy, JMLR: W&CP, 2010
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Contextual Conditional Models for Smartphone-based Human Mobility Prediction, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: Proceedings of the 14th ACM International Conference on Ubiquitous Computing, 2012
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GroupUs: Smartphone Proximity Data and Human Interaction Type Mining, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: 15th annual International Symposium on Wearable Computers, San Francisco, USA, 2011
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Passive Bimanual Skills Learning from Demonstration with Motion Graph Attention Networks, Z. Dong, Z. Li, Y. Yan, Sylvain Calinon and F. Chen, in: IEEE Robotics and Automation Letters (RA-L), 7(2):4917-4923, 2022
Improving Children Speech Recognition through Feature Learning from Raw Speech Signal, S. Pavankumar Dubagunta, Selen Hande Kabil and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition, S. Pavankumar Dubagunta and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Learning voice source related information for depression detection, S. Pavankumar Dubagunta, Bogdan Vlasenko and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Object Classification and Detection in High Dimensional Feature Space, Charles Dubout, Programme doctoral en Informatique, Communications et Information, 2013
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Adaptive Sampling for Large Scale Boosting, Charles Dubout and Francois Fleuret, in: Journal of Machine Learning Research, 15:1431-1453, 2014
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Deformable Part Models with Individual Part Scaling, Charles Dubout and Francois Fleuret, in: British Machine Vision Conference, 2013
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Exact Acceleration of Linear Object Detectors, Charles Dubout and Francois Fleuret, in: Proceedings of the European Conference on Computer Vision, 2012
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Boosting with Maximum Adaptive Sampling, Charles Dubout and Francois Fleuret, in: Proceedings of the Neural Information Processing Systems Conference, 2011
Person Authentication by Fusing Face and Speech Information, Benoît Duc, Gilbert Maître, Stefan Fischer and Josef Bigün, in: Proceedings of the First International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA'97), Springer Verlag, 1997
The TA2 Database – A Multi-Modal Database From Home Entertainment, Stefan Duffner, Petr Motlicek and Danil Korchagin, in: International Journal of Computer and Electrical Engineering, 4(5):670-673, 2012
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The TA2 Database - A Multi-Modal Database from Home Entertainment, Stefan Duffner, Petr Motlicek and Danil Korchagin, in: International Conference on Signal Acquisition and Processing, Singapore, 2011
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Leveraging Colour Segmentation for Upper-Body Detection, Stefan Duffner and Jean-Marc Odobez, in: Pattern Recognition, 47(6):2222-2230, 2014
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Exploiting Long-Term Observations for Track Creation and Deletion in Online Multi-Face Tracking, Stefan Duffner and Jean-Marc Odobez, in: IEEE Conference on Automatic Face and Gesture Recognition, pages 525-530, IEEE, 2011
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Dynamic Partitioned Sampling For Tracking With Discriminative Features, Stefan Duffner, Jean-Marc Odobez and Elisa Ricci, in: Proceedings of the British Maschine Vision Conference, London, 2009
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How does a dictation machine recognize speech ?, T. Dutoit, L. Couvreur and Hervé Bourlard, in: Applied Signal Processing--A MATLAB approach, Springer MA, 2008
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Scalable Probabilistic Models for Face and Speaker Recognition, Laurent El Shafey, École Polytechnique Fédérale de Lausanne (EPFL), 2014
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Audio-Visual Gender Recognition in Uncontrolled Environment Using Variability Modeling Techniques, Laurent El Shafey, Elie Khoury and Sébastien Marcel, in: International Joint Conference on Biometrics, Clearwater, Florida, USA, pages 1 - 8, IEEE, 2014
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Face Verification using Gabor Filtering and Adapted Gaussian Mixture Models, Laurent El Shafey, Roy Wallace and Sébastien Marcel, in: Proceedings of the 11th International Conference of the Biometrics Special Interest Group, Darmstadt, Germany, pages 397-408, GI-Edition, 2012
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Non-Ontogenic Sparse Neural Networks, D. Elizondo, Emile Fiesler and Jerzy Korczak, in: Proceedings of the International Conference on Neural Networks, IEEE, IEEE, 1995
Environment - Application - Adaptation: a Community Architecture for Ambient Intelligence, Remi Emonet, in: International Conference on Ambient Computing, Applications, Services and Technologies, 2011
What to Show? Automatic Stream Selection Among Multiple Sensors, Remi Emonet, E. Oberzaucher and Jean-Marc Odobez, in: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2014
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Unsupervised methods for activity analysis and detection of abnormal events, Remi Emonet and Jean-Marc Odobez, in: Intelligent Video Surveillance Systems (ISTE), Wiley, 2013
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Temporal Analysis of Motif Mixtures using Dirichlet Processes, Remi Emonet, Jagannadan Varadarajan and Jean-Marc Odobez, in: IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 36(1), 2014
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Multi-camera Open Space Human Activity Discovery for Anomaly Detection, Remi Emonet, Jagannadan Varadarajan and Jean-Marc Odobez, in: 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011
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Spoofing Face Recognition with 3D Masks, Nesli Erdogmus and Sébastien Marcel, in: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY:1084-1097, 2014
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Spoofing in 2D Face Recognition with 3D Masks and Anti-spoofing with Kinect, Nesli Erdogmus and Sébastien Marcel, in: Biometrics: Theory, Applications and Systems, Washington DC, USA, 2013
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Spoofing Attacks To 2D Face Recognition Systems With 3D Masks, Nesli Erdogmus and Sébastien Marcel, in: International Conference of the Biometrics Special Interes Group, Darmstadt, Germany, 2013
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Within- and Cross- Database Evaluations for Gender Classification via BeFIT Protocols, Nesli Erdogmus, Matthias Vanoni and Sébastien Marcel, in: International Workshop on Multimedia Signal Processing, pages 1-6, 2014
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Improving Contextual Quality Models for MT Evaluation Based on Evaluators' Feedback, Paula Estrella, Andrei Popescu-Belis and Margaret King, in: 6th International Conference on Language Resources and Evaluation, Marrakech, Morocco, 2008

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Multi-modal person verification tools using speech and images, M. Acheroy et al., in: European Conference on Multimedia Applications, Services and Techniques, 1996

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An Attention Mechanism for Deep Q-Networks with Applications in Robotic Pushing, Marco Ewerton, Sylvain Calinon and Jean-Marc Odobez, in: Proc. of Workshop on Emerging paradigms for robotic manipulation: from the lab to the productive world, ICRA, 2021

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Open-Set Speaker Identification pipeline in live criminal investigations, Mael Fabien and Petr Motlicek, in: 1st ISCA Symposium on Security and Privacy in Speech Communication, 2021
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BertAA: BERT fine-tuning for Authorship Attribution, Mael Fabien, Esaú Villatoro-Tello, Petr Motlicek and Shantipriya Parida, in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
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Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction, Martin Fajcik, Petr Motlicek and Pavel Smrz, in: Association for Computational Linguistics, Findings of the Association for Computational Linguistics: ACL 2023:10184–10205, 2023
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IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model, Martin Fajcik, Muskaan Singh, Zuluaga-Gomez. Juan, Esaú Villatoro-Tello, Sergio Burdisso, Petr Motlicek and Pavel Smrz, in: The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022), 2022
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ChildPlay-Hand: A Dataset of Hand Manipulations in the Wild, Arya Farkhondeh, Samy Tafasca and Jean-Marc Odobez, in: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024
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A Probabilistic Approach to Socio-Geographic Reality Mining, Katayoun Farrahi, Ecole Polytechnique Fédérale de Lausanne, 2011
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Socio-Technical Network Analysis from Wearable Interactions, Katayoun Farrahi, Remi Emonet and Alois Ferscha, in: International Symposium on Wearable Computers, 2012
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Discovering Routines from Large-Scale Human Locations using Probabilistic Topic Models, Katayoun Farrahi and Daniel Gatica-Perez, in: ACM Transactions on Intelligent Systems and Technology, 2(1), 2011
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Probabilistic Mining of Socio-Geographic Routines from Mobile Phone Data, Katayoun Farrahi and Daniel Gatica-Perez, in: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 4(4), 2010
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Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling, Katayoun Farrahi and Daniel Gatica-Perez, in: 2010 IEEE Second International Conference on Social Computing, SIN Symposium, Minneapolis, Minnesota, USA, 2010
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Daily Routine Classification from Mobile Phone Data, Katayoun Farrahi and Daniel Gatica-Perez, in: Workshop on Machine Learning and Multimodal Interaction (MLMI08), 2008
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Discovering Human Routines from Cell Phone Data with Topic Models, Katayoun Farrahi and Daniel Gatica-Perez, in: IEEE International Symposium on Wearable Computers (ISWC), 2008
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Demystifying the Scribes behind the Voynich Manuscript using Computational Linguistic Techniques, Kevin Farrugia, Colin Layfield and Lonneke van der Plas, in: Proceedings of the 1st International Conference on the Voynich Manuscript, 2022
Head-Pose Invariant Facial Expression Recognition using Convolutional Neural Networks, B. Fasel, in: International IEEE Conference on Multimodal Interfaces (ICMI 02), 2002
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Mutliscale Facial Expression Recognition using Convolutional Neural Networks, B. Fasel, in: Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 02), 2002
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Robust Face Analysis using Convolutional Neural Networks, B. Fasel, in: Proceedings of the International Conference on Pattern Recognition (ICPR 02), 2002
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Facial Expression Analysis using Shape and Motion Information Extracted by Convolutional Neural Networks, B. Fasel, in: International IEEE Workshop on Neural Networks for Signal Processing (NNSP 02), 2002
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Automatic Facial Expression Analysis: A Survey, B. Fasel and Juergen Luettin, in: Pattern Recognition, 36(1), 2003
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Recognition of Asymmetric Facial Action Unit Activities and Intensities, B. Fasel and Juergen Luettin, in: Proceedings of the International Conference on Pattern Recognition (ICPR 2000), 2000
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Social Network Analysis for Automatic Role Recognition, Sarah Favre, Ecole Polytechnique Fédérale de Lausanne, 2010
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Social Network Analysis in Multimedia Indexing: Making Sense of People in Multiparty Recordings, Sarah Favre, in: Proceedings of the Doctoral Consortium of the International Conference on Affective Computing & Intelligent Interaction (ACII), 2009
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MLP-based Factor Analysis for Tandem Speech Recognition, Marc Ferras and Hervé Bourlard, in: Proceedings of the International Conference on Acoustics, Speech and Signal Processing, 2013
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Speaker Diarization and Linking of Large Corpora, Marc Ferras and Hervé Bourlard, in: Proceedings of the IEEE Workshop on Spoken Language Technology, 2012
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SYSTEM FUSION AND SPEAKER LINKING FOR LONGITUDINAL DIARIZATION OF TV SHOWS, Marc Ferras, Srikanth Madikeri, Petr Motlicek and Hervé Bourlard, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5495-5499, IEEE, 2016
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Error-related EEG potentials in brain-computer interfaces, Pierre W. Ferrez, École Polytechnique Fédérale de Lausanne, 2007
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Simultaneous Real-Time Detection of Motor Imagery and Error-Related Potentials for Improved BCI Accuracy, Pierre W. Ferrez and José del R. Millán, in: Proceedings of the 4th International Brain-Computer Interface Workshop and Training Course, 2008
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You Are Wrong!---Automatic Detection of Interaction Errors from Brain Waves, Pierre W. Ferrez and José del R. Millán, in: Proceedings of the 19th International Joint Conference on Artificial Intelligence, 2005
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Error-Related EEG Potentials in Brain-Computer Interfaces, Pierre W. Ferrez and José del R. Millán, in: Towards Brain-Computer Interfacing, The MIT Press, 2007
Neural Network Classification and Formalization, Emile Fiesler, in: Computer Standards & Interfaces, 16(03), 1994
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Multi-layer Boosting for Pattern Recognition, Francois Fleuret, in: Pattern Recognition Letter, 30, 2009
The MASH Project, Francois Fleuret, Philip Abbet, Charles Dubout and Leonidas Lefakis, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011
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Re-Identification for Improved People Tracking, Francois Fleuret, Horesh Ben Shitrit and Pascal Fua, in: Person Re-Identification, pages 311-336, Springer, 2014
Multi-Camera People Tracking with a Probabilistic Occupancy Map, Francois Fleuret, Jerome Berclaz, Richard Lengagne and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2), 2008
Stationary Features and Cat Detection, Francois Fleuret and Donald Geman, in: Journal of Machine Learning Research, 9, 2008
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The ICSI RT-09 Speaker Diarization System, Gerald Friedland, Adam Janin, David Imseng, Xavier Anguera, Luke Gottlieb, Marijn Huijbregts, Mary Tai Knox and Oriol Vinyals, in: IEEE Transactions on Audio, Speech, and Language Processing, 20(2):371--381, 2012
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Novel Methods For Detection And Analysis Of Atypical Aspects In Speech, Julian Fritsch, École Polytechnique Fédérale de Lausanne, 2023
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Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models, Julian Fritsch, Sebastian Wankerl and Elmar Nöth, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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3D Gaze Estimation from Remote RGB-D Sensors, Kenneth Alberto Funes Mora, École Polytechnique Fédérale de Lausanne, 2015
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3D Head Pose and Gaze Tracking and Their Application to Diverse Multimodal Tasks, Kenneth Alberto Funes Mora, in: Doctoral consortium of the 15th ACM International Conference on Multimodal Interaction, Sydney, Australia, 2013
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EYEDIAP: A Database for the Development and Evaluation of Gaze Estimation Algorithms from RGB and RGB-D Cameras, Kenneth Alberto Funes Mora, Florent Monay and Jean-Marc Odobez, in: Proceedings of the ACM Symposium on Eye Tracking Research and Applications, Safety Harbor, Florida, United States of America, ACM, 2014
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A Semi-Automated System for Accurate Gaze Coding in Natural Dyadic Interactions, Kenneth Alberto Funes Mora, Laurent Son Nguyen, Daniel Gatica-Perez and Jean-Marc Odobez, in: 15th ACM International Conference on Multimodal Interaction, Sydney, Australia, ACM, 2013
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Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras, Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: IEEE Computer Vision and Pattern Recognition Conference, Columbus, Ohio,USA, pages 1773-1780, IEEE, 2014
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Person Independent 3D Gaze Estimation From Remote RGB-D Cameras, Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: International Conference on Image Processing, Melbourne, Australia, IEEE, 2013
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Gaze Estimation From Multimodal Kinect Data, Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: IEEE Conference in Computer Vision and Pattern Recognition, Workshop on Gesture Recognition, Providence, RI, USA, 2012
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Feature Extraction for Multi-Class BCI using Canonical Variates Analysis, Ferran Galán, Pierre W. Ferrez, Francesc Oliva, Joan Guàrdia and José del R. Millán, in: Proceedings of the IEEE International Symposium on Intelligent Signal Processing, 2007
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Hill-Climbing Attack to an Eigenface-Based Face Verification System, Javier Galbally, Chris McCool, Julian Fierrez, Sébastien Marcel and Javier Ortega-Garcia, in: Proceedings of the First IEEE International Conference on Biometrics, Identity and Security (BIdS), 2009
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Autoregressive Models of Amplitude Modulations in Audio Compression, Sriram Ganapathy, Petr Motlicek and Hynek Hermansky, in: IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2010
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Error Resilient Speech Coding Using Sub-band Hilbert Envelopes, Sriram Ganapathy, Petr Motlicek and Hynek Hermansky, in: 12th International Conference on Text, Speech and Dialogue, TSD 2009, Pilsen, Czech Republic, Springer - Verlag, Berlin Heidelberg 2009, 2009
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Error Resilient Speech Coding Using Sub-band Hilbert Envelopes, Sriram Ganapathy, Petr Motlicek and Hynek Hermansky, in: 12th International Conference on Text, Speech and Dialogue, TSD 2009, Pilsen, Czech Republic, Springer - Verlag, Berlin Heidelberg 2009, 2009
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MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction, Sriram Ganapathy, Petr Motlicek and Hynek Hermansky, in: Audio Engineering Society (AES,',','), 127th Convention, Audio Engineering Society (AES), Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA;, 2009
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Modulation Frequency Features For Phoneme Recognition In Noisy Speech, Sriram Ganapathy, Samuel Thomas and Hynek Hermansky, in: Journal of Acoustical Society of America - Express Letters, 2008
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APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION, Sriram Ganapathy, Samuel Thomas, Petr Motlicek and Hynek Hermansky, in: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009, WASPAA '09., IEEE, Mohonk Mountain House, New Paltz, New York, USA, 2009
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DiffuCOMET: Contextual Commonsense Knowledge Diffusion, Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji and Antoine Bosselut, in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Bangkok, Thailand, pages 4809–4831, Association for Computational Linguistics, 2024
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Motion Mappings for Continuous Bilateral Teleoperation, Xiao Gao, J. Silverio, E. Pignat, Sylvain Calinon, Miao Li and Xiaohui Xiao, in: IEEE Robotics and Automation Letters, 6(3):5048-5055, 2021
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Investigating the use of Visual Focus of Attention for Audio-Visual Speaker Diarisation, Giulia Garau, Silèye O. Ba, Hervé Bourlard and Jean-Marc Odobez, in: Proceedings of the ACM International Conference on Multimedia, Beijing, China, 2009
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Using Audio and Visual Cues for Speaker Diarisation Initialisation, Giulia Garau and Hervé Bourlard, in: International Conference on Acoustics, Speech and Signal Processing, 2010
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Audio–Visual Synchronisation for Speaker Diarisation, Giulia Garau, Alfred Dielmann and Hervé Bourlard, in: International Conference on Speech and Language Processing, Interspeech, Makuhari, Japan, 2010
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Recognition of Anticipatory Behavior from Human EEG, Gangadhar Garipelli, Ricardo Chavarriaga and José del R. Millán, in: In proceedings, 4th Intl. Brain-Computer Interface Workshop and Training Course, 2008
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The use of brain-computer interfacing for ambient intelligence, Gangadhar Garipelli, Ferran Galán, Ricardo Chavarriaga, Pierre W. Ferrez, Eileen Lew and José del R. Millán, in: In the book, Constructing Ambient Intelligence: AmI-07 Workshops Proceedings, Max M\:uhlh\:auser, Alois Ferscha, and Erwin Aitenbichler (Eds.,',','), LNCS, Springer Verlag, 2008., 2007
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Bayesian Approaches to Uncertainty in Speech Processing, Philip N. Garner, School of Computing Sciences, University of East Anglia, 2011
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A Simple Continuous Pitch Estimation Algorithm, Philip N. Garner, Milos Cernak and Petr Motlicek, in: IEEE Signal Processing Letters, 20(1):102--105, 2013
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A Bayesian Approach to Recurrence in Neural Networks, Philip N. Garner and Sibo Tong, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(8):2527--2537, 2021
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Signal Processing in the Workplace, Daniel Gatica-Perez, in: IEEE Signal Processing Magazine, 32(1):121-125, 2015
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Modeling interest in face-to-face conversations from multimodal nonverbal behavior, Daniel Gatica-Perez, in: In J.-P. Thiran, H. Bourlard, and F. Marques, (Eds.,',','), Multimodal Signal Processing, Academic Press, Academic Press, 2009
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Automatic nonverbal analysis of social interaction in small groups: A review, Daniel Gatica-Perez, in: Image and Vision Computing, Special Issue on Human Behavior, 27(12), 2009
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Analyzing Group Interactions in Conversations: a Review, Daniel Gatica-Perez, in: IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2006
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Analysis of Small Groups, Daniel Gatica-Perez, Oya Aran and Dinesh Babu Jayagopi, in: Social Signal Processing, pages 349-367, Cambridge University Press. Editors J. Burgoon, N. Magnenat-Thalmann, M. Pantic, and A. Vinciarelli, 2017
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Discovering Eating Routines in Context with a Smartphone App, Daniel Gatica-Perez, Joan-Isaac Biel, David Labbe and Nathalie Martin, in: Ubicomp/Iswc'19 Adjunct: Proceedings Of The 2019 Acm International Joint Conference On Pervasive And Ubiquitous Computing And Proceedings Of The 2019 Acm International Symposium On Wearable Computers, London, pages 422-429, 2019
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MAAYA: Multimedia Methods to Support Maya Epigraphic Analysis, Daniel Gatica-Perez, Gulcan Can, Rui Hu, Stephane Marchand-Maillet, Jean-Marc Odobez, Carlos Pallan Gayol and Edgar Roman-Rangel, in: Arqueologia computacional: Nuevos enfoques para el analisis y la difusion del patrimonio cultural, INAH-RedTDPC, 2017
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A Mixed-State I-Particle Filter for Multi-Camera Speaker Tracking, Daniel Gatica-Perez, Guillaume Lathoud, Iain A. McCowan and Jean-Marc Odobez, in: IEEE Int. Conf. on Computer Vision Workshop on Multimedia Technologies for E-Learning and Collaboration (ICCV-WOMTEC), 2003
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Audio-visual probabilistic tracking of multiple speakers in meetings, Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc Odobez and Iain A. McCowan, in: IEEE Trans. on Audio, Speech, and Language Processing, accepted for publication., 2006
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Finding Structure in Home Videos by Probabilistic Hierarchical Clustering, Daniel Gatica-Perez, Alexander Loui and Ming-Ting Sun, in: IEEE Transactions on Circuits and Systems for Video Technology, 13(6), 2003
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On automatic annotation of meeting databases, Daniel Gatica-Perez, Iain A. McCowan, Mark Barnard, Samy Bengio and Hervé Bourlard, in: IEEE International Conference on Image Processing (ICIP), 2003
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Detecting Group Interest-level in Meetings, Daniel Gatica-Perez, Iain A. McCowan, Dong Zhang and Samy Bengio, in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2005
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Visual Attention, Speaking Activity, and Group Conversational Analysis in Multi-Sensor Environments, Daniel Gatica-Perez and Jean-Marc Odobez, in: In H. Nakashima, J. Augusto, H. Aghajan (Eds.,',','), Handbook of Ambient Intelligence and Smart Environments, Springer, 2010
Tracking People in Meetings with Particles, Daniel Gatica-Perez, Jean-Marc Odobez, Silèye O. Ba, Kevin C. Smith and Guillaume Lathoud, in: Proc. Int. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS,',','), invited paper, 2005
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Vlogging Over Time: Longitudinal Impressions and Behavior in YouTube, Daniel Gatica-Perez, Dairazalia Sanchez-Cortes, Trinh-Minh-Tri Do, Dinesh Babu Jayagopi and Kazuhiro Otsuka, in: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, Cairo, EGYPT, pages 37-46, 2018
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Linking Objects in Videos by Importance Sampling, Daniel Gatica-Perez and Ming-Ting Sun, in: IEEE International Conference on Multimedia and Expo, 2002
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Object Localization in Metric Spaces for Video Linking, Daniel Gatica-Perez and Ming-Ting Sun, in: IEEE Workshop on Motion and Video Computing, 2002
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Modeling Interactions from Email Communication, Daniel Gatica-Perez, Dong Zhang and Samy Bengio, in: Proc. IEEE International Conference on Multimedia & Expo (ICME,',','), 2006, 2006
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Extracting Information from Multimedia Meeting Collections, Daniel Gatica-Perez, Dong Zhang and Samy Bengio, in: 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005
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A Conditional Random field approach for audio-visual people diarization, Paul Gay, Elie Khoury, Sylvain Meignier, Jean-Marc Odobez and Paul Deleglise, in: Proceedings of the 39th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 116 - 120, IEEE, 2014
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Reconnaissance et Transformation de Locuteurs, Dominique Genoud, École Polytechnique Fédérale de Lausanne, 1999
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Combining methods to improve speaker verification decision, Dominique Genoud, Frédéric Bimbot, Guillaume Gravier and Gérard Chollet, in: Proceedings of The Fourth International Conference on Spoken Language Processing, ICSLP, ICSLP, 1996
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Deliberate Imposture: a challenge for automatic speaker verification systems, Dominique Genoud and Gérard Chollet, in: Proceedings of the European Conference on Speech Communication and Technology, 1999
Voice transformation, a tool for imposture of speaker verification, Dominique Genoud and Gérard Chollet, in: Proceedings of International Phonetic Science conference IPS98, Washington, 1998
Text dependent speaker verification using binary classifiers, Dominique Genoud, Miguel Moreira and Eddy Mayoraz, in: Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing --- ICASSP'98, IEEE, IEEE, 1998
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Efficient Grapevine Structure Estimation in Vineyards Conditions, Théophile Gentilhomme, Michael Villamizar, Jérome Corre and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, Paris, pages 712--720, 2023
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EFaR 2023: Efficient Face Recognition Competition, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Ketan Kotwal and Sébastien Marcel, in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023
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Heterogeneous Face Recognition Using Domain Invariant Units, Anjith George and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2024
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From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition, Anjith George and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024
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Heterogeneous Face Recognition with Prepended Domain Transformers, Anjith George and Sébastien Marcel, in: Face Recognition Across the Imaging Spectrum, Springer, 2024
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The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias, Anjith George and Sébastien Marcel, in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023
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Cross Modal Focal Loss for RGBD Face Anti-Spoofing, Anjith George and Sébastien Marcel, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing, Anjith George and Sébastien Marcel, in: International Joint Conference on Biometrics (IJCB 2021), 2021
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Multi-channel Face Presentation Attack Detection Using Deep Learning, Anjith George and Sébastien Marcel, in: Deep Learning-Based Face Analytics, Springer International Publishing, 2021
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Exploiting Accelerometers to Improve Movement Classification for Prosthetics, Arjan Gijsberts and Barbara Caputo, in: International Conference on Rehabilitation Robotics, 2013
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Object Recognition using Visuo-Affordance Maps, Arjan Gijsberts, Tatiana Tommasi, Giorgio Metta and Barbara Caputo, in: International Conference on Intelligent Robots and Systems, Taipei, pages 1572-1578, IEEE, 2010
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Local Machine Learning Models for Spatial Data Analysis, Nicolas Gilardi and Samy Bengio, in: Journal of Geographic Information and Decision Analysis, 4(01), 2000
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Conditional Gaussian Mixture Models for Environmental Risk Mapping, Nicolas Gilardi, Samy Bengio and Mikhail Kanevski, in: IEEE International Workshop on Neural Networks for Signal Processing (NNSP), 2002
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Environmental and Pollution Spatial Data Classification with Support Vector Machines and Geostatistics, Nicolas Gilardi, Mikhail Kanevski, Michel Maignan and Eddy Mayoraz, in: Intelligent techniques for Spatio-Temporal Data Analysis in Environmental Applications. Workshop W07, 1999
Confidence Evaluation for Risk Prediction, Nicolas Gilardi, Tom Melluish and Michel Maignan, in: 2001 Annual Conference of the IAMG, 2001
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Sequential Design of Computer Experiments, David Ginsbourger, in: Wiley StatsRef: Statistics Reference Online, Wiley, 2018
Design of Computer Experiments Using Competing Distances Between Set-Valued Inputs, David Ginsbourger, Jean Baccou, Clément Chevalier and Frédéric Perales, in: mODa 11 - Advances in Model-Oriented Design and Analysis, pages 123-131, Springer International Publishing, 2016
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On ANOVA Decompositions of Kernels and Gaussian Random Field Paths, David Ginsbourger, Olivier Roustant, Dominic Schuhmacher, Nicolas Durrande and Nicolas Lenz, in: Monte Carlo and Quasi-Monte Carlo Methods, pages 315-330, Springer International Publishing, 2016
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Reactive Anticipatory Robot Skills with Memory, Hakan Girgin, Julius Jankowski and Sylvain Calinon, in: The International Symposium on Robotics Research, 2022
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Reactive Anticipatory Robot Skills with Memory, Hakan Girgin, Julius Jankowski and Sylvain Calinon, in: Robotic Research, pages 436-451, Springer, 2023
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Active Improvement of Control Policies with Bayesian Gaussian Mixture Model, Hakan Girgin, E. Pignat, N. Jaquier and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, 2020
Investigating Lexical Substitution Scoring for Subtitle Generation, Oren Glickman, Ido Dagan, Mikaela Keller, Samy Bengio and Walter Daelemans, in: Proceedings of the 10th Conference on Computational Natural Language Learning (CoNLL)., 2006
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A CASA-labelling model using the localisation cue for robust cocktail-party speech recognition, Hervé Glotin, Frédéric Berthommier and Emmanuel Tessier, in: Proc.\ European Conf.\ on Speech Communication and Technology (EUROSPEECH), 1999
Interfacing of CASA and Multistream recognition, Hervé Glotin, Frédéric Berthommier, Emmanuel Tessier and Hervé Bourlard, in: TSD'98-Text, Speech and Dialog International Workshop, BRNO-Czech Republic, 1998
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Steerable Features for Statistical 3D Dendrite Detection, German Gonzalez, Francois Aguet, Francois Fleuret, Michael Unser and Pascal Fua, in: Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention, 2009
Learning Rotational Features for Filament Detection, German Gonzalez, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2009
Automated Delineation of Dendritic Networks in Noisy Image Stacks, German Gonzalez, Francois Fleuret and Pascal Fua, in: proceedings of the European Conference on Computer Vision, 2008
Delineating Trees in Noisy 2D Images and 3D Image Stacks, German Gonzalez, Engin Turetken, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, pages 2799–2806, 2010
Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying, Gábor Gosztolya, Tamás Grósz, László Tóth and David Imseng, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2015
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Manifold Sparse Beamforming, Baran Gözcü, Afsaneh Asaei and Volkan Cevher, in: IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Saint Martin, France, pages 113-116, IEEE, 2013
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Support Vector Machines with a Reject Option, Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet and Stéphane Canu, in: Proceedings of the 22nd Annual Conference on Neural Information Processing Systems, 2008
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Zurich Like New: Analyzing Open Urban Multimodal Data, Marcel Granero-Moya, Thanh-Trung Phan and Daniel Gatica-Perez, in: Proceedings of the 1st International Workshop on Multimedia Computing for Urban Data, 2021
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Machine Learning for Information Retrieval, David Grangier, Ecole Polytechnique Fédérale de Lausanne, 2008
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A Discriminative Kernel-based Model to Rank Images from Text Queries, David Grangier and Samy Bengio, in: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), X, 2008
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Learning the Inter-frame Distance for Discriminative Template-based Keyword Detection, David Grangier and Samy Bengio, in: International Conference on Speech Communication and Technology (INTERSPEECH), 2007
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A Neural Network to Retrieve Images from Text Queries, David Grangier and Samy Bengio, in: International Conference on Artificial Neural Networks (ICANN), 2006
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Exploiting Hyperlinks to Learn a Retrieval Model, David Grangier and Samy Bengio, in: NIPS Workshop on Learning to Rank, 2005
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Inferring Document Similarity from Hyperlinks, David Grangier and Samy Bengio, in: ACM Conference on Information and Knowledge Management, 2005
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Discriminative Keyword Spotting, David Grangier, Joseph Keshet and Samy Bengio, in: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, John Wiley and Sons, 2009
Learning to Retrieve Images from Text Queries with a Discriminative Model, David Grangier, Florent Monay and Samy Bengio, in: International Workshop on Adaptive Multimedia Retrieval (AMR), 2006
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Effect of Segmentation Method on Video Retrieval Performance, David Grangier and Alessandro Vinciarelli, in: Proceedings of the 2005 IEEE International Conference on Multimedia and Expo (ICME-05), 2005
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Cross-linguistic annotation of narrativity for English/French verb tense disambiguation, Cristina Grisot and Thomas Meyer, in: 9th Edition of the Language Resources and Evaluation Conference, Reykjavik, Iceland, 2014
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A Hierarchical Keyframe User Interface for Browsing Video over the Internet, Maël Guillemot, Pierre Wellner, Daniel Gatica-Perez and Jean-Marc Odobez, in: Proceedings of the 9th International Conference on Human-Computer Interaction (INTERACT-2003), IOS Press, 2003
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Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction, Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jorg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber and Andrei Popescu-Belis, in: Proceedings of WMT 2016 (First Conference on Machine Translation), Association for Computational Linguistics, Berlin, Germany, pages 525–542, 2016
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Face Recognition with Disparity Corrected Gabor Phase Differences, Manuel Günther, Dennis Haufe and Rolf P. Würtz, in: Artificial Neural Networks and Machine Learning, Heidelberg, pages 411-418, Springer Berlin, 2012
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An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms, Manuel Günther, Roy Wallace and Sébastien Marcel, in: Computer Vision - ECCV 2012. Workshops and Demonstrations, Idiap Research Institute, Heidelberg, pages 547-556, Springer Berlin, 2012
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A Unified Model for Gaze Following and Social Gaze Prediction, Anshul Gupta, Samy Tafasca, Naravich Chutisilp and Jean-Marc Odobez, in: The 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
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A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings, Anshul Gupta, Samy Tafasca and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
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Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following, Anshul Gupta, Pierre Vuillecard, Arya Farkhondeh and Jean-Marc Odobez, in: Int. Conf. Computer Vision and Pattern Recognition (CVPR), Workshop on Gaze Estimation and Prediction in the Wild, 2024
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Studying Phase Synchrony for Classification of Mental Tasks in Brain Machine Interfaces, E. Gysels, José del R. Millán, Silvia Chiappa and P. Celka, in: Proceedings of the Conference of the International Society for Brain Electromagnetic Topography, 2003

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Keyword Extraction and Clustering for Document Recommendation in Conversations, Maryam Habibi and Andrei Popescu-Belis, in: IEEE/ACM Transactions on Audio Speech and Language Processing, 23(4):746 - 759, 2015
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Query Refinement Using Conversational Context: a Method and an Evaluation Resource, Maryam Habibi and Andrei Popescu-Belis, in: Proceedings of NLDB 2015 (20th International Conference on Applications of Natural Language to Information Systems), Passau, Germany, pages 89-102, Springer-Verlag Berlin, 2015
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Enforcing Topic Diversity in a Document Recommender for Conversations, Maryam Habibi and Andrei Popescu-Belis, in: Proceedings of the Coling 2014 (25th International Conference on Computational Linguistics), Dublin, Ireland, pages 746-759, IEEE, 2014
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Diverse Keyword Extraction from Conversations, Maryam Habibi and Andrei Popescu-Belis, in: Proceedings of the ACL 2013 (51th Annual Meeting of the Association for Computational Linguistics ), Short Papers, Sofia, Bulgaria, pages 651-657, ACL, 2013
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Using Crowdsourcing to Compare Document Recommendation Strategies for Conversations, Maryam Habibi and Andrei Popescu-Belis, in: RecSys, Recommendation Utility Evaluation (RUE 2012), Dublin, Ireland, pages 15-20, 2012
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Robust speech recognition based on multi-stream processing, Astrid Hagen, École Polytechnique Fédérale de Lausanne, 2001
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A System for Human-Robot Teaming through End-User Programming and Shared Autonomy, Michael Hagenow, Emmanuel Senft, Robert Radwin, Michael Gleicher, Michael Zinn and Bilge Mutlu, in: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, pages 231-239, 2024
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Are ACT's scores increasing with better translation quality?, Najeh Hajlaoui, in: Are ACT's scores increasing with better translation quality?, pages 6, 2013
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Assessing the Accuracy of Discourse Connective Translations: Validation of an Automatic Metric, Najeh Hajlaoui and Andrei Popescu-Belis, in: 14th International Conference on Intelligent Text Processing and Computational Linguistics, University of the Aegean, Samos, Greece, pages 236-247, Springer, 2013
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Translating English Discourse Connectives into Arabic: a Corpus-based Analysis and an Evaluation Metric, Najeh Hajlaoui and Andrei Popescu-Belis, in: Fourth Workshop on Computational Approaches to Arabic Script-based Languages at Proceedings of the Tenth Biennial Conference of the Association for Machine Translation in the Americas (AMTA), 2012
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Supervisory teleoperation with online learning and optimal control, I. Havoutis and Sylvain Calinon, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Singapore, pages 1534-1540, IEEE, 2017
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Learning assistive teleoperation behaviors from demonstration, I. Havoutis and Sylvain Calinon, in: Proc. IEEE International Symposium on Safety, Security and Rescue Robotics, pages 258-263, 2016
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The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation, Mutian He and Philip N. Garner, in: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pages 4408-4423, Association for Computational Linguistics, 2023
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Deep Learning Approaches for Auditory Perception in Robotics, Weipeng He, École polytechnique fédérale de Lausanne, 2021
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Spatial Attention for Far-Field Speech Recognition with Deep Beamforming Neural Networks, Weipeng He, Lu Lu, Biqiao Zhang, Jay Mahadeokar, Kaustubh Kalgaonkar and Christian Fuegen, in: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, pages 7499-7503, 2020
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Neural Network Adaptation and Data Augmentation for Multi-Speaker Direction-of-Arrival Estimation, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:1303-1317, 2021
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Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, United Kingdom, pages 770-774, 2019
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Deep Neural Networks for Multiple Speaker Detection and Localization, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, AUSTRALIA, pages 74-79, 2018
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Human Tracking and Pose Estimation in Open Spaces, Alexandre Heili, École Polytechnique Fédérale de Lausanne (EPFL), 2014
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Detection-Based Multi-Human Tracking Using a CRF Model, Alexandre Heili, Cheng Chen and Jean-Marc Odobez, in: The Eleventh IEEE International Workshop on Visual Surveillance, 2011
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Parameter Estimation and Contextual Adaptation for a Multi-Object Tracking CRF Model, Alexandre Heili and Jean-Marc Odobez, in: IEEE Workshop on Performance Evaluation of Tracking and Surveillance, 2013
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Readback Error Detection by Automatic Speech Recognition to Increase ATM Safety, Hartmut Helmke, Matthias Kleinert, Shruthi Shetty, Oliver Ohneiser, heiko Ehr, Hörður Arilíusson, Teodor S. Simiganoschi, Amrutha Prasad, Petr Motlicek, Karel Vesely, Karel Ondřej, Pavel Smrz, Julia Harfmann and Christian Windisch, in: Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021), The United States Federal Aviation Administration (FAA), EUROCONTROL, pages 10, 2021
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The Unstoppable Rise of Computational Linguistics in Deep Learning, James Henderson, in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Online, pages 6294-6306, Association for Computational Linguistics, 2020
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A VAE for Transformers with Nonparametric Variational Information Bottleneck, James Henderson and Fabio Fehr, in: The Eleventh International Conference on Learning Representations, 2023
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Sparse Probabilistic Classifiers, Romain Hérault and Yves Grandvalet, in: International Conference on Machine Learning (ICML), 2007
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On matching data and model in LF-MMI-based dysarthric speech recognition, Enno Hermann, École polytechnique fédérale de Lausanne, 2023
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Dysarthric Speech Recognition with Lattice-Free MMI, Enno Hermann and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 6109-6113, 2020
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TRAP-TANDEM: Data-driven extraction of temporal features from speech, Hynek Hermansky, in: large part published in Proceedings of ASRU-2003, 2003
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The Role of Speech in Multimodal Human-Computer Interaction (Towards Reliable Rejection of Non-Keyword Input), Hynek Hermansky, Petr Fousek and Mikko Lehtonen, in: Proceedings of 8th International Conference on Text, Speech and Dialogue - TSD 2005, 2005
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Local Binary Patterns as an Image Preprocessing for Face Authentication, Guillaume Heusch, Yann Rodriguez and Sébastien Marcel, in: IEEE Int. Conf. on Automatic Face and Gesture Recognition (AFGR), 2006
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Towards utterance-based neural network adaptation in acoustic modeling, Ivan Himawan, Petr Motlicek, Marc Ferras and Srikanth Madikeri, in: IEEE Automatic Speech Recognition and Understanding Workshop, pages 289-295, 2015
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Blind acoustic source separation for cocktail party speech recognition, H. Hong, Seunjin Choi, Hervé Glotin and Frédéric Berthommier, in: ICONIP, 7th IEEE Int. Conf. on Neural Information Processing, 2000
Emphasis Recreation for TTS using Intonation Atoms, Pierre-Edouard Honnet and Philip N. Garner, in: 9th ISCA Speech Synthesis Workshop, pages 14--20, 2016
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Atom Decomposition-based Intonation Modelling, Pierre-Edouard Honnet, Branislav Gerazov and Philip N. Garner, in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pages 4744--4748, IEEE, 2015
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Parkinson's Disease Detection through Formant and F0 Analysis at Syllable Level, Sevada Hovsepyan and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
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Identifying Privacy Personas, Olena Hrynenko and Andrea Cavallaro, in: Proceedings on Privacy Enhancing Technologies, 2025
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Towards Audio-Visual On-line Diarization Of Participants In Group Meetings, Hayley Hung and Gerald Friedland, in: European Conference on Computer Vision Workshop on Multi-camera and Multi-modal Sensor Fusion, 2008
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Estimating Cohesion in Small Groups Using Audio-Visual Nonverbal Behavior, Hayley Hung and Daniel Gatica-Perez, in: IEEE Trans. on Multimedia, Special Issue on Multimodal Affective Interaction, 12(6):563 - 575, 2010
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Identifying Dominant People in Meetings from Audio-Visual Sensors, Hayley Hung and Daniel Gatica-Perez, in: International Conference on Automatic Face and Gesture Recognition, Amsterdam, The Netherlands, 2008
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Estimating Dominance in Multi-Party Meetings Using Speaker Diarization, Hayley Hung, Yan Huang, Gerald Friedland and Daniel Gatica-Perez, in: IEEE Transactions on Audio, Speech, and Language Processing, 19(4):847-860, 2011
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Associating Audio-Visual Activity Cues in a Dominance Estimation Framework, Hayley Hung, Yan Huang, Chuohao Yeo and Daniel Gatica-Perez, in: First IEEE Workshop on CVPR for Human Communicative Behavior Analysis, 2008
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Neuromorphic Based Oscillatory Device for Incremental Syllable Boundary Detection, Alexandre Hyafil and Milos Cernak, in: Proc. of Interspeech, Dresden, Germany, pages 1191-1195, ISCA, 2015
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Activity Report 2005, IDIAP, Idiap-Com-01-2006
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Activity Report 2004, IDIAP, Idiap-Com-01-2005
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Activity Report 2003, IDIAP, Idiap-Com-01-2004
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Activity Report 2002, IDIAP, Idiap-Com-01-2003
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Activity Report 2001, IDIAP, Idiap-Com-01-2002
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Activity Report 2000, IDIAP, Idiap-Com-01-2001
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Activity Report 1999, IDIAP, Idiap-Com-01-2000
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Nonlinear Spectral Transformations for Robust Speech Recognition, Shajith Ikbal, Hynek Hermansky and Hervé Bourlard, in: Proceedings of the IEEE Automatic Speech Recognition and Understanding (ASRU) Workshop 2003, 2003
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Phase AutoCorrelation (PAC) derived Robust Speech Features, Shajith Ikbal, Hemant Misra and Hervé Bourlard, in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003
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Phase AutoCorrelation (PAC) features in Entropy based Multi-Stream for Robust Speech Recognition, Shajith Ikbal, Hemant Misra, Hervé Bourlard and Hynek Hermansky, in: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04), 2004
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Speaker Normalization using HMM2, Shajith Ikbal, Katrin Weber and Hervé Bourlard, in: Proceedings of the 2002 IEEE International Workshop on Neural Networks for Signal Processing (NNSP-02), 2002
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Multilingual speech recognition A posterior based approach, David Imseng, École Polytechnique Fédérale de Lausanne (EPFL), 2013
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Speaker adaptive Kullback-Leibler divergence based hidden Markov models, David Imseng and Hervé Bourlard, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
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MediaParl: Bilingual mixed language accented speech database, David Imseng, Hervé Bourlard, Holger Caesar, Philip N. Garner, Gwénolé Lecorvé and Alexandre Nanchen, in: Proceedings of the 2012 IEEE Workshop on Spoken Language Technology, pages 263--268, 2012
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Using KL-divergence and multilingual information to improve ASR for under-resourced languages, David Imseng, Hervé Bourlard and Philip N. Garner, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, pages 4869--4872, 2012
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Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans, David Imseng, Hervé Bourlard and Philip N. Garner, in: Proceedings of the 3rd International Workshop on Spoken Languages Technologies for Under-resourced Languages, Cape Town, pages 60--67, 2012
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Towards mixed language speech recognition systems, David Imseng, Hervé Bourlard and Mathew Magimai.-Doss, in: Proceedings of Interspeech, Makuhari, Japan, pages 278-281, 2010
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Language dependent universal phoneme posterior estimation for mixed language speech recognition, David Imseng, Hervé Bourlard, Mathew Magimai.-Doss and John Dines, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Prag, CZ, pages 5012-5015, 2011
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An Adaptive Initialization Method for Speaker Diarization based on Prosodic Features, David Imseng and Gerald Friedland, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, USA, pages 4946-4949, 2010
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Tuning-Robust Initialization Methods for Speaker Diarization, David Imseng and Gerald Friedland, in: IEEE Transactions on Audio, Speech, and Language Processing, 18(8):2028-2037, 2010
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Robust Speaker Diarization for Short Speech Recordings, David Imseng and Gerald Friedland, in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Merano, Italy, pages 432-437, 2009
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Hierarchical Multilayer Perceptron based Language Identification, David Imseng, Mathew Magimai.-Doss and Hervé Bourlard, in: Proceedings of Interspeech, Makuhari, Japan, pages 2722-2725, 2010
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Exploiting un-transcribed foreign data for speech recognition in well-resourced languages, David Imseng, Blaise Potard, Petr Motlicek, Alexandre Nanchen and Hervé Bourlard, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, IT, pages 2322 - 2326, IEEE, 2014
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Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition, David Imseng, Ramya Rasipuram and Mathew Magimai.-Doss, in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Hawaii, USA, pages 348-353, 2011
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Compositionality in English deverbal compounds:The role of the head, Gianina Iordachioaia, Lonneke van der Plas and Glorianna Jagfeld, in: The role of constituents in multiword expressions. Phraseology and Multiword Expressions, Language Science Press, Berlin, 2020

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Automatic pathological speech assessment, Parvaneh Janbakhshi, École polytechnique fédérale de Lausanne, 2022
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AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS, Parvaneh Janbakhshi, Ina Kodrasi and Hervé Bourlard, in: 45th International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, pages 7328–7332, 2021
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SYNTHETIC SPEECH REFERENCES FOR AUTOMATIC PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT, Parvaneh Janbakhshi, Ina Kodrasi and Hervé Bourlard, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020
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Automatic pathological speech intelligibility assessment exploiting subspace-based analyses, Parvaneh Janbakhshi, Ina Kodrasi and Hervé Bourlard, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1717 - 1728, 2020
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PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT BASED ON THE SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE, Parvaneh Janbakhshi, Ina Kodrasi and Hervé Bourlard, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, pages 6405--6409, 2019
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A Kernel Wrapper for Phoneme Sequence Recognition, Joseph Keshet and Dan Chazan, in: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, John Wiley and Sons, 2009
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Bio-Medical Multi-label Scientific Literature Classification using LWAN and Dual-attention module, Deepanshu Khanna, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh and Petr Motlicek, in: PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION (PACLIC 2022), In Proceedings of ACL Anthology, 2022
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Towards a breakthrough Speaker Identification approach for Law Enforcement Agencies: SIIP, Khaled Khelif, yann Mombrun, Gerhard Backfried, Farhan Sahito, Luca Scarpatto, Petr Motlicek, Damien Kelly, Gideon Hazzani, Emmanouil Chatzigavriil and Srikanth Madikeri, in: European Intelligence and Security Informatics Conference (EISIC) 2017, Athenes, Greece, pages 32-39, IEEE Computer Society, 2017
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The Idiap Speaker Recognition Evaluation System at NIST SRE 2012, Elie Khoury, Laurent El Shafey and Sébastien Marcel, in: NIST Speaker Recognition Conference, NIST, Orlando, USA, 2012
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Fusing Matching and Biometric Similarity Measures for Face Diarization in Video, Elie Khoury, Paul Gay and Jean-Marc Odobez, in: Proceedings of the 3rd ACM conference on International conference on multimedia retrieval, Dallas, Texas, USA, pages 97-104, ACM, 2013
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Introducing I-Vectors for Joint Anti-spoofing and Speaker Verification, Elie Khoury, Tomi Kinnunen, Aleksandr Sizov, Zhizheng Wu and Sébastien Marcel, in: The 15th Annual Conference of the International Speech Communication Association, 2014
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Referencing in YouTube Knowledge Communication Videos, Haeeun Kim and Daniel Gatica-Perez, in: ACM International Conference on Interactive Media Experiences (IMX '23), June 2023, Nantes, France, 2023
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Automatic detection of conflicts in spoken conversations: ratings and analysis of broadcast political debates, Samuel Kim, Fabio Valente and Alessandro Vinciarelli, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, 2012
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Adaptation of Assistant Based Speech Recognition to New Domains and Its Acceptance by Air Traffic Controllers, Matthias Kleinert, Hartmut Helmke, Gerald Siol, heiko Ehr, Dietrich Klakow, Mittul Singh, Petr Motlicek, Kern Christian, Cerna Aneta and Hlousek Petr, in: Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, San Diego, California, USA, pages 820 - 826, 2019
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Spectro-temporal sparsity characterization for dysarthric speech detection, Ina Kodrasi and Hervé Bourlard, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1210-1222, 2020
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Super-gaussianity of Speech Spectral Coefficients as a Potential Biomarker for Dysarthric Speech Detection, Ina Kodrasi and Hervé Bourlard, in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2019
Statistical modeling of speech spectral coefficients in patients with Parkinson's disease, Ina Kodrasi and Hervé Bourlard, in: Proc. ITG conference on Speech Communication, Oldenburg, Germany, 2018
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Single-channel late reverberation power spectral density estimation using denoising autoencoders, Ina Kodrasi and Hervé Bourlard, in: Proc. Annual Conference of the International Speech Communication Association, Hyderabad, India, 2018
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Joint late reverberation and noise power spectral density estimation in a spatially homogeneous noise field, Ina Kodrasi and Simon Doclo, in: Proc. International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, pages 441-445, 2018
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Automatic Time Skew Detection and Correction, Danil Korchagin, in: Proceedings International Conference on Signal Acquisition and Processing, Singapore, 2011
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Audio Spatio-Temporal Fingerprints for Cloudless Real-Time Hands-Free Diarization on Mobile Devices, Danil Korchagin, in: Proceedings of the 3rd Joint Workshop on Hands-Free Speech Communication and Microphone Arrays, Edinburgh, UK, 2011
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Out-of-Scene AV Data Detection, Danil Korchagin, in: Proceedings IADIS International Conference Applied Computing, Rome, Italy, 2009
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Memoirs of Togetherness from Audio Logs, Danil Korchagin, in: Proceedings International ICST Conference on User Centric Media, Venice, Italy, 2009
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Social Focus of Attention as a Time Function Derived from Multimodal Signals, Danil Korchagin and Hamid Reza Abutalebi, in: Proceedings IEEE International Conference on Multimedia & Expo, Barcelona, Spain, 2011
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Multimodal Cue Detection Engine for Orchestrated Entertainment, Danil Korchagin, Stefan Duffner, Petr Motlicek and Carl Scheffler, in: Proceedings International Conference on MultiMedia Modeling, Klagenfurt, Austria, 2012
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Automatic Temporal Alignment of AV Data with Confidence Estimation, Danil Korchagin, Philip N. Garner and John Dines, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, USA, 2010
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Hands Free Audio Analysis from Home Entertainment, Danil Korchagin, Philip N. Garner and Petr Motlicek, in: Proceedings of Interspeech, Makuhari, Japan, 2010
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Just-in-Time Multimodal Association and Fusion from Home Entertainment, Danil Korchagin, Petr Motlicek, Stefan Duffner and Hervé Bourlard, in: Proceedings IEEE International Conference on Multimedia & Expo, Barcelona, Spain, 2011
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Vulnerability of Face Age Verification to Replay Attacks, Pavel Korshunov, Anjith George, Gokhan Ozbulak and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024
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Subjective and objective evaluation of deepfake videos, Pavel Korshunov and Sébastien Marcel, in: The international Conference on Acoustics, Speech, and Signal Processing, 2021
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Improving Generalization of Deepfake Detection with Data Farming and Few-Shot Learning, Pavel Korshunov and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021
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Vulnerability assessment and detection of Deepfake videos, Pavel Korshunov and Sébastien Marcel, in: IAPR International Conference on Biometrics, 2019
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Vulnerability of Face Recognition to Deep Morphing, Pavel Korshunov and Sébastien Marcel, in: International Conference on Biometrics for Borders, 2019
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Speaker Inconsistency Detection in Tampered Video, Pavel Korshunov and Sébastien Marcel, in: European Signal Processing Conference, 2018
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A Cross-database Study of Voice Presentation Attack Detection, Pavel Korshunov and Sébastien Marcel, in: Handbook of Biometric Anti-Spoofing: Presentation Attack Detection, 2nd Edition, Springer, 2018
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Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration, Ketan Kotwal and Sébastien Marcel, in: IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, IEEE/CVF, 2024
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Fairness Index Measures to Evaluate Bias in Biometric Recognition, Ketan Kotwal and Sébastien Marcel, in: International Conference on Pattern Recognition Workshops, 2022
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CNN Patch Pooling for Detecting 3D Mask Presentation Attacks in NIR, Ketan Kotwal and Sébastien Marcel, in: IEEE International Conference on Image Processing, 2020
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Assessing the Reliability of Biometric Authentication on Virtual Reality Devices, Ketan Kotwal, Gokhan Ozbulak and Sébastien Marcel, in: Proceedings of IEEE International Joint Conference on Biometrics, 2024
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On the Vulnerability of Speaker Verification to Realistic Voice Spoofing, Serife Kucur Ergunay, Elie Khoury, Alexandros Lazaridis and Sébastien Marcel, in: IEEE International Conference on Biometrics: Theory, Applications and Systems, pages 1-8, IEEE, 2015
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On the Challenge of Classifying 52 Hand Movements from Surface Electromyography, Ilja Kuzborskij, Arjan Gijsberts and Barbara Caputo, in: 34th Annual Conference of the IEEE Engineering in Medicine & Biology Society, 2012
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Improving speaker turn embedding by crossmodal transfer learning from face embedding, Nam Le and Jean-Marc Odobez, in: ICCV Workshop on Computer Vision for Audio-Visual Media, 2017
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Towards large scale multimedia indexing: A case study on person discovery in broadcast news, Nam Le, Jean-Marc Odobez and et al., in: 15th International Workshop on Content-Based Multimedia Indexing, 2017
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Jointly Informative Feature Selection, Leonidas Lefakis and Francois Fleuret, in: Journal of Machine Learning Research, 2016
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Reservoir Boosting : Between Online and Offline Ensemble Learning, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2013
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Macro-Action Discovery Based on Change Point Detection and Boosting, Leonidas Lefakis and Francois Fleuret, in: International Conference on Machine Learning and Applications, 2012
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Joint Cascade Optimization Using a Product Of Boosted Classifiers, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the Neural Information Processing Systems Conference, pages 1315–1323, 2010
View-Based Appearance Model Online Learning for 3D Deformable Face Tracking, Stéphanie Lefèvre and Jean-Marc Odobez, in: Proc. Int. Conf. on Computer Vision Theory and Applications, Angers, 2010
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Structure and appearance features for robust 3D facial actions tracking, Stéphanie Lefèvre and Jean-Marc Odobez, in: IEEE Proc. Int. Conf. on Multimedia and Expo, IEEE, 2009
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treeKL: A distance between high dimension empirical distributions, Riwal Lefort and Francois Fleuret, in: Pattern Recognition Letters, 34(2):140-145, 2013
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A tree-based distance between distributions: application to classification of neurons, Riwal Lefort and Francois Fleuret, in: ICASSP 2012 : IEEE International Conference on Acoustics, Speech and Signal Processing, 2012
Neural Network-based Word Alignment through Score Aggregation, Joël Legrand, Michael Auli and Ronan Collobert, in: Proceedings of the ACL 1st Conference on Machine Translation, 2016
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Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages, Joël Legrand and Ronan Collobert, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
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Phrase Representations for Multiword Expressions, Joël Legrand and Ronan Collobert, in: Proceedings of the 12th Workshop on Multiword Expressions, 2016
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Non-Invasive Brain-Machine Interaction, José del R. Millán, Pierre W. Ferrez, Ferran Galán, Eileen Lew and Ricardo Chavarriaga, in: International Journal of Pattern Recognition and Artificial Intelligence, 2008
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Non-Invasive Brain-Actuated Interaction, José del R. Millán, Pierre W. Ferrez, Ferran Galán, Eileen Lew and Ricardo Chavarriaga, in: Proceedings of the 2nd International Symposium on Brain, Vision and Artificial Intelligence, 2007
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Tapping the Mind or Resonating Minds?, José del R. Millán, in: European Visions for the Knowledge Age, Cheshire Henbury, 2007
Asynchronous BCI and Local Neural Classifiers: An Overview of the Adaptive Brain Interface Project, José del R. Millán and J. Mouriño, in: IEEE Trans. on Neural Systems and Rehabilitation Engineering, Special Issue on Brain-Computer Interface Technology, 11(2), 2003
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Non-Invasive Brain-Actuated Control of a Mobile Robot by Human EEG, José del R. Millán, F. Renkens, J. Mouriño and W. Gerstner, in: 2006 IMIA Yearbook of Medical Informatics, Schattauer Verlag, 2006
Brain-Actuated Interaction, José del R. Millán, F. Renkens, J. Mouriño and W. Gerstner, in: Artificial Intelligence, 159(1-2), 2004
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Non-Invasive Brain-Actuated Control of a Mobile Robot by Human EEG, José del R. Millán, F. Renkens, J. Mouriño and W. Gerstner, in: IEEE Trans. on Biomedical Engineering, Special Issue on Brain-Machine Interfaces, 51(6), 2004
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Non-Invasive Brain-Actuated Control of a Mobile Robot, José del R. Millán, F. Renkens, J. Mouriño and W. Gerstner, in: Proceedings of the 18th International Joint Conference on Artificial Intelligence, 2003
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Multi-stream Processing for Noise Robust Speech Recognition, Hemant Misra, École Polytechnique Fédérale de Lausanne, 2006
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Spectral Entropy Feature in Full-Combination Multi-Stream for Robust ASR, Hemant Misra and Hervé Bourlard, in: Proceedings of ISCA European Conference on Speech Communication and Technology (Eurospeech), 2005
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New Entropy Based Combination Rules in HMM/ANN Multi-stream ASR, Hemant Misra, Hervé Bourlard and Vivek Tyagi, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2003
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Spectral Entropy Based Feature for Robust ASR, Hemant Misra, Shajith Ikbal, Hervé Bourlard and Hynek Hermansky, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2004
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Multi-resolution Spectral Entropy Based Feature for Robust ASR, Hemant Misra, Shajith Ikbal, Sunil Sivadas and Hervé Bourlard, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005
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Confusion Matrix Based Entropy Correction in Multi-stream Combination, Hemant Misra and Andrew Morris, in: Proceedings of ISCA European Conference on Speech Communication and Technology (Eurospeech), 2003
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Multi-stream ASR: An Oracle Perspective, Hemant Misra, Jithendra Vepa and Hervé Bourlard, in: Proceedings of ISCA International Conference on Spoken Language Processing (ICSLP), 2006
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Mixture Models for Unsupervised and Supervised Learning, Perry Moerland, École Polytechnique Fédérale de Lausanne, Computer Science Department, 2000
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A comparison of mixture models for density estimation, Perry Moerland, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'99), London: IEE, 1999
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Classification using localized mixtures of experts, Perry Moerland, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'99), London: IEE, 1999
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Hardware-Friendly Learning Algorithms for Neural Networks: An Overview, Perry Moerland and Emile Fiesler, in: Proceedings of the Fifth International Conference on Microelectronics for Neural Networks and Fuzzy Systems: MicroNeuro'96, EPFL and CSEM, Lausanne, Switzerland, IEEE Computer Society Press, 1996
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Neural Network Adaptations to Hardware Implementations, Perry Moerland and Emile Fiesler, in: Handbook of Neural Computation, Institute of Physics Publishing and Oxford University Publishing, 1997
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Overcoming Inaccuracies in Optical Multilayer Perceptrons, Perry Moerland, Emile Fiesler and Indu Saxena, in: Proceedings of the First International Symposium on Neuro-Fuzzy Systems (AT'96), Lausanne, Switzerland, AATI, 1996
The Effects of Optical Thresholding in Backpropagation Neural Networks, Perry Moerland, Emile Fiesler and Indu Saxena, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'95 and NeuroNimes'95), ENNS, Paris, France, EC2 & Cie, 1995
Mixtures of Experts Estimate A Posteriori Probabilities, Perry Moerland, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'97), Springer-Verlag, 1997
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Results on the Steepness in Backpropagation Neural Networks, Perry Moerland, Georg Thimm and Emile Fiesler, in: Proceedings of the '94 SIPAR-Workshop on Parallel and Distributed Computing, SI Group for Parallel Systems, 1994
Deeply Vulnerable -- a study of the robustness of face recognition to presentation attacks, Amir Mohammadi, Sushil Bhattacharjee and Sébastien Marcel, in: IET (The Institution of Engineering and Technology) -- Biometrics:1--13, 2017
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Humans as Feature Extractors: Combining Prosody and Personality Perception for Better Speaking Style Recognition, Gelareh Mohammadi and Alessandro Vinciarelli, in: Proceeding of IEEE Int Conference on Systems, Man, and Cybernetics - Special Sessions, 2011
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Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task, Alireza Mohammadshahi, Karl Aberer and Rémi Lebret, in: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER), Hong Kong, pages 27-33, Association for Computational Linguistics, 2019
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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics (2021), 9:18, 2021
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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics(under submission), 2020
Graph-to-Graph Transformer for Transition-based Dependency Parsing, Alireza Mohammadshahi and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020
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Graph-to-Graph Transformer for Transition-based Dependency Parsing, Alireza Mohammadshahi and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, ACL, Online, pages 3278–3289, Association for Computational Linguistics, 2020
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Semantic Behavior Analysis of COVID-19 Patients: A Collaborative Framework, Amlan Mohanty, Debasish Kumar Mallick, Shantipriya Parida and Satya Ranjan Dash, in: Machine Learning for Healthcare Applications, John Wiley & Sons, Inc. USA and Scrivener Publishing LLC, USA, 2021
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Incremental Enrollment of Speech Recognizers, Chafic Mokbel and Olivier Collin, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'99,',','), Phoenix, Arizona, USA, 1999
Learning the structure of image collections with latent aspect models, Florent Monay, École Polytechnique Fédérale de Lausanne, 2007
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Modeling semantic aspects for cross-media image indexing, Florent Monay and Daniel Gatica-Perez, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
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PLSA-based Image Auto-Annotation: Constraining the Latent Space, Florent Monay and Daniel Gatica-Perez, in: Proc. ACM Int. Conf. on Multimedia (ACM MM), 2004
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On Image Auto-Annotation with Latent Space Models, Florent Monay and Daniel Gatica-Perez, in: Proc. ACM Int. Conf. on Multimedia (ACM MM), 2003
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Constructing visual models with a latent space approach, Florent Monay, Pedro Quelhas, Daniel Gatica-Perez and Jean-Marc Odobez, in: the Springer series of Lecture Notes in Computer Science, 2006
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Contextual classification of image patches with latent aspect models, Florent Monay, Pedro Quelhas, Jean-Marc Odobez and Daniel Gatica-Perez, in: EURASIP Journal on Image and Video Processing, Special Issue on Patches in Vision, 2009
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Discovering Human Places of Interest from Multimodal Mobile Phone Data, Raul. Montoliu and Daniel Gatica-Perez, in: Proceedings of 9th International Conference on on Mobile and Ubiquitous Multimedia (MUM,',','), Limassol, Cyprus, 2010
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Juicer: A Weighted Finite-State Transducer speech decoder, Darren Moore, John Dines, Mathew Magimai.-Doss, Jithendra Vepa, Octavian Cheng and Thomas Hain, in: 3rd Joint Workshop on Multimodal Interaction and Related Machine LEarning Algorithms MLMI'06, 2006
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Microphone Array Speech Recognition : Experiments on Overlapping Speech in Meetings, Darren Moore and Iain A. McCowan, in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003
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The use of Boolean concepts in general classification contexts, Miguel Moreira, Ecole Polytechnique Federale de Lausanne, 2000
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Image Classification by Neural Networks for the Quality Control of Watches, Miguel Moreira, Emile Fiesler and Gianni Pante, in: Proceedings ISAI /IFIS 1996, ITESM, Cancun, Mexico, ITESM, 1996
Data binarization by discriminant elimination, Miguel Moreira, Alain Hertz and Eddy Mayoraz, in: Proceedings of the ICML-99 Workshop: From Machine Learning to Knowledge Discovery in Databases, 1999
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Automatic Speech Recognition: an Auditory Perspective, Nelson Morgan, Hervé Bourlard and Hynek Hermansky, in: Speech Processing in the Auditory System, Springer Verlag, New York, 2000
Data utility modelling for mismatch reduction, Andrew Morris, in: Proc. CRAC (workshop on Consistent & Reliable Acoustic Cues for sound analysis), 2001
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Some applications of a priori knowledge in multi-stream HMM and HMM/ANN based ASR, Andrew Morris, in: Phonus No.5,Dec.2000, ISSN 0949-1791, Proc. Workshop on Phonetics and Phonology in ASR, 2000
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The full combination sub-bands approach to noise robust HMM/ANN based ASR, Andrew Morris, Astrid Hagen and Hervé Bourlard, in: 6th European Conference on Speech Communication and Technology --- Eurospeech'99, 1999
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Automatic Out-of-Language Detection Based on Confidence Measures Derived fromLVCSR Word and Phone Lattices, Petr Motlicek, in: 10thAnnual Conference of the International Speech Communication Association, ISCA, Brighton, England, 2009
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EMPLOYMENT OF SUBSPACE GAUSSIAN MIXTURE MODELS IN SPEAKER RECOGNITION, Petr Motlicek, Subhadeep Dey, Srikanth Madikeri and Lukas Burget, in: 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Brisbane, Australia, pages 4445-4449, 2015
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Arithmetic Coding of Sub-Band Residuals in FDLP Speech/Audio Codec, Petr Motlicek, Sriram Ganapathy and Hynek Hermansky, in: 10th Annual Conference of the International Speech Communication Association, ISCA, Brighton, England, ISCA 2009, 2009
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Perceptually motivated Sub-band Decomposition for FDLP Audio Coding, Petr Motlicek, Sriram Ganapathy, Hynek Hermansky, Harinath Garudadri and Marios Athineos, in: Text, Speech and Dialogue, Brno, Czech Republic, Springer-Verlag Berlin, Heidelberg, 2008
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Wide-Band Audio Coding based on Frequency Domain Linear Prediction, Petr Motlicek, Sriram Ganapathy, Hynek Hermansky and Harinath Garudadri, in: EURASIP Journal on Audio Speech and Music Processing, 2010(856280), 2010
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ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS, Petr Motlicek, Philip N. Garner, Namhoon Kim and Jeongmi Cho, in: The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Vancouver, BC, Canada, pages 7170-7174, 2013
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Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding, Petr Motlicek, Hynek Hermansky, Sriram Ganapathy and Harinath Garudadri, in: 4th Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI), 2007
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Speech Coding based on Spectral Dynamics, Petr Motlicek, Hynek Hermansky, Harinath Garudadri and Naveen Srinivasamurthy, in: Ninth International Conference on TEXT, SPEECH and DIALOGUE (TSD), 2006
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AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS, Petr Motlicek, Hynek Hermansky, Srikanth Madikeri, Amrutha Prasad and Sriram Ganapathy, in: 11th International workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Universita Degli Studi Firenze, Firenze, Italy, 2019
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Development of Bilingual ASR System for MediaParl Corpus, Petr Motlicek, David Imseng, Milos Cernak and Namhoon Kim, in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, ISCA, 2014
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Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation, Petr Motlicek, David Imseng and Philip N. Garner, in: Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013), ISCA - International Speech Communication Association, Lyon, France, pages 510-514, ISCA, 2013
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Exploiting foreign resources for DNN-based ASR, Petr Motlicek, David Imseng, Blaise Potard, Philip N. Garner and Ivan Himawan, in: EURASIP Journal on Audio, Speech, and Music Processing(2015:17), 2015
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FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK, Petr Motlicek, Daniel Povey and Martin Karafiat, in: The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Vancouver, BC, Canada, pages 7604-7608, 2013
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Wide-Band Perceptual Audio Coding based on Frequency-Domain Linear Prediction, Petr Motlicek, Vijay Ullal and Hynek Hermansky, in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2007
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Application of Out-Of-Language Detection To Spoken-Term Detection, Petr Motlicek and Fabio Valente, in: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, USA, 2010
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English Spoken Term Detection in Multilingual Recordings, Petr Motlicek, Fabio Valente and Philip N. Garner, in: Proceedings of Interspeech, Makuhari, Japan, 2010, ISCA, Makuhari, Japan, 2010
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IMPROVING ACOUSTIC BASED KEYWORD SPOTTING USING LVCSR LATTICES, Petr Motlicek, Fabio Valente and Igor Szoke, in: Proceedings on IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Japan, pages 4413-4416, 2012
Evolution of the Mental States Operating a Brain-Computer Interface, J. Mouriño, Silvia Chiappa, R. Jané and José del R. Millán, in: Proceedings of the International Federation for Medical and Biological Engineering, 2002
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Long-Term Spectral Statistics for Voice Presentation Attack Detection, Hannah Muckenhirn, Pavel Korshunov, Mathew Magimai.-Doss and Sébastien Marcel, in: IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(11):2098-2111, 2017
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Towards directly modeling raw speech signal for speaker verification using CNNs, Hannah Muckenhirn, Mathew Magimai.-Doss and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, CANADA, pages 4884-4888, 2018
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End-to-End Convolutional Neural Network-based Voice Presentation Attack Detection, Hannah Muckenhirn, Mathew Magimai.-Doss and Sébastien Marcel, in: International Joint Conference on Biometrics, Denver, Colorado, USA, 2017
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On Job Training: Automated Interpersonal Behavior Assessment & Real-Time Feedback, Skanda Muralidhar, in: Proceedings of the 25th ACM International Conference on Multimedia, 2017, 2017
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Examining Linguistic Content and Skill Impression Structure for Job Interview Analytics in Hospitality, Skanda Muralidhar and Daniel Gatica-Perez, in: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017
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Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes, Skanda Muralidhar, Laurent Son Nguyen and Daniel Gatica-Perez, in: Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2018
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A Tale of Two Interactions: Inferring Performance in Hospitality Encounters from Cross-Situation Social Sensing, Skanda Muralidhar, Marianne Schmid Mast and Daniel Gatica-Perez, in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(129), 2018
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How May I Help You? Behavior and Impressions in Hospitality Service Encounters, Skanda Muralidhar, Marianne Schmid Mast and Daniel Gatica-Perez, in: Proceddings of 19th ACM International Conference on Multimodal Interaction, 2017
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Facing Employers and Customers: What Do Gaze and Expressions Tell About Soft Skills?, Skanda Muralidhar, Remy Siegfried, Jean-Marc Odobez and Daniel Gatica-Perez, in: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, Cairo, Egypt, pages 121-126, ASSOC COMPUTING MACHINERY, 2018
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Socially Intelligent Surveillance and Monitoring: Analysing Social Dimensions of Physical Space, V. Murino, M. Cristani and Alessandro Vinciarelli, in: Proceedings of International Workshop on Socially Intelligent Surveillance and Monitoring, San Francisco, pages 51-58, 2010
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Learning Optimal Impedance Control During Complex 3D Arm Movements, A. Naceri, T. Schumacher, Q. Li, Sylvain Calinon and H. Ritter, in: IEEE Robotics and Automation Letters (RA-L), 6(2):1248-1255, 2021
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Phoneme based Respiratory Analysis of Read Speech, Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik and Mathew Magimai.-Doss, in: Proceedings of European Signal Processing Conference (EUSIPCO), 2021
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EMPIRICAL EVALUATION AND COMBINATION OF PUNCTUATION PREDICTION MODELS APPLIED TO BROADCAST NEWS, Alexandre Nanchen and Philip N. Garner, in: Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019
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Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification, Vivi Nastase and Paola Merlo, in: Proceedings of the 9th Workshop on Representation Learning for NLP, 2024
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Are there identifiable structural parts in the sentence embedding whole?, Vivi Nastase and Paola Merlo, in: Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2024
Learning to learn new models of human activities in indoor settings1, Fabian Nater, Tatiana Tommasi, Luc Van Gool and Barbara Caputo, in: Interactive Multimodal Information Management, EPFL Press, 2013
Learning to learn new models of human activities in indoor settings1, Fabian Nater, Tatiana Tommasi, Luc Van Gool and Barbara Caputo, in: Interactive Multimodal Information Management, EPFL Press, 2013
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Detecting queues at vending machines: a statistical layered approach, Xavier Naturel and Jean-Marc Odobez, in: Proc. Int. Conf. on Pattern Recognition (ICPR), Tampa, 2008
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Reconnaissance et compréhension de la parole: évaluation et applications, F. Néel, Gérard Chollet, F. Lamel, W. Minker and Andrei Constantinescu, in: Fondements et perspectives en traitement automatique de la parole, AUPELF -- UREF, 1996
Flickr Hypergroups, Radu-Andrei Negoescu, Brett Adams, Dinh Phung, Svetha Venkatesh and Daniel Gatica-Perez, in: Proceedings of the 17th ACM International Conference on Multimedia, 2009
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Analyzing Flickr Groups, Radu-Andrei Negoescu and Daniel Gatica-Perez, in: Proc. of the Intl. Conf. on Image and Video Retrieval, ACM, 2008
Topickr: Flickr Groups and Users Reloaded, Radu-Andrei Negoescu and Daniel Gatica-Perez, in: MM '08: Proc. of the 16th ACM Intl. Conf. on Multimedia, ACM, 2008
Kodak Moments and Flickr Diamonds: How Users Shape Large-scale Media, Radu-Andrei Negoescu, Alexander Loui and Daniel Gatica-Perez, in: Proc. of the 18th Intl. Conf. on Multimedia, Firenze, Italy, 2010
Robust Execution of Assembly Policies Using a Pose Invariant Task Representation, Bojan Nemec, Matevz Hrovat, Mihael Simonič, Suhan Shetty, Sylvain Calinon and Ales Ude, in: 20th International Conference on Ubiquitous Robots (UR), Honolulu, HI, USA, IEEE, 2023
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Novel Algorithms for Clustering, James Newling, École polytechnique fédérale de Lausanne, 2018
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A Sub-Quadratic Exact Medoid Algorithm, James Newling and Francois Fleuret, in: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
K-Medoids For K-Means Seeding, James Newling and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2017
Fast K-Means with Accurate Bounds, James Newling and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning (ICML), New York, 2016
Nested Mini-Batch K-Means, James Newling and Francois Fleuret, in: Proceedings of NIPS, 2016
ROXSD: a Simulated Dataset of Communication in Organized Crime, Hoang H. Nguyen, Mael Fabien, Petr Motlicek, Shantipriya Parida and Kvetoslav Maly, in: 1st ISCA Symposium on Security and Privacy in Speech Communication, 2021
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Learning diverse features in vision transformers for improved generalization, Armand Mihai Nicolicioiu, Andrei Liviu Nicolicioiu, Bogdan Alexe and Damien Teney, in: ICML 2023: The Second Workshop on Spurious Correlations, Invariance and Stability, 2023
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Brain-Computer Interfaces for HCI and Games, A. Nijholt, D. Tan, B. Allison, José del R. Millán, M. Moore and B. Graimann, in: Proceedings of the 26th Annual CHI Conference on Human Factors in Computing Systems, Extended Abstracts, 2008
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Shallow Discourse Parsing for Open Information Extraction and Text Simplification, Christina Niklaus, Andre Freitas and Siegfried Handschuh, in: 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING, 2022
Cue integration through discriminative accumulation, Maria Elena Nilsback and Barbara Caputo, in: International Conference on Computer Vision and Pattern Recognition, 2004
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An Implicit Motion Likelihood for Tracking with Particle Filters, Jean-Marc Odobez, Silèye O. Ba and Daniel Gatica-Perez, in: British Machine Vision Conference (BMVC), Springer Verlag, 2003
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Embedding motion in model-based stochastic tracking, Jean-Marc Odobez and Daniel Gatica-Perez, in: 17th Int. Conf. Pattern Recognition (ICPR), 2004
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Embedding Motion in Model-Based Stochastic Tracking, Jean-Marc Odobez, Daniel Gatica-Perez and Silèye O. Ba, in: IEEE Transaction on Image Processing, 15(11), 2006
Spectral Structuring of Home Videos, Jean-Marc Odobez, Daniel Gatica-Perez and Maël Guillemot, in: International Conference on Image and Video Retrieval (CIVR'03), Springer Verlag, 2003
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Video Shot Clustering using Spectral Methods, Jean-Marc Odobez, Daniel Gatica-Perez and Maël Guillemot, in: 3rd Workshop on Content-Based Multimedia Indexing (CBMI), 2003
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Sampling techniques for audio-visual tracking and head pose estimation, Jean-Marc Odobez and Oswald Lanz, in: Multimodal Signal Processing: Human Interactions in Meetings, pages 84-102, Cambridge University Press, 2012
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Deciphering the Silent Participant. On the Use of Audio-Visual Cues for the Classification of Listener Categories in Group Discussions, Catharine Oertel, Kenneth Alberto Funes Mora, Joakim Gustafson and Jean-Marc Odobez, in: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, ACM, Seattle, Washington, USA, pages 107--114, ACM, 2015
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Who Will Get the Grant ? A Multimodal Corpus for the Analysis of Conversational Behaviours in Group Interviews, Catharine Oertel, Kenneth Alberto Funes Mora, Samira Sheikhi, Jean-Marc Odobez and Joakim Gustafson, in: International Conference on Multimodal Interaction, Understanding and Modeling Multiparty, Multimodal Interactions Workshop, Istanbul, Turkey, ACM, 2014
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Personality Trait Classification via Co-Occurrent Multiparty Multimodal Event Discovery, Shogo Okada, Oya Aran and Daniel Gatica-Perez, in: Proceedings of the ACM International Conference on Multimodal Interaction, Seattle, Washington, USA, pages 15-22, ACM, 2015
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Modeling Dyadic and Group Impressions with Inter-Modal and Inter-Person Features, Shogo Okada, Laurent Son Nguyen, Oya Aran and Daniel Gatica-Perez, in: ACM Transactions on Multimedia Computing, Communications, and Applications, 15(1), 2019
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Bounded kernel-based perceptrons, Francesco Orabona, Joseph Keshet and Barbara Caputo, in: Journal of Machine Learning Research, Accepted for pub, 2009
Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning, Francesco Orabona and Jie Luo, in: Proceedings of the 28th International Conference on Machine Learning, 2011
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Online-Batch Strongly Convex Multi Kernel Learning, Francesco Orabona, Jie Luo and Barbara Caputo, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
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SDFR: Synthetic Data for Face Recognition Competition, Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik and Sébastien Marcel, in: IEEE FG 2024 : 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
A Probabilistic Framework for Multiple Speaker Localization, Youssef Oualil, Mathew Magimai.-Doss, Friedrich Faubel and Dietrich Klakow, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013
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A Large-Scale Database of Images and Captions for Automatic Face Naming, Mert Ozcan, Jie Luo, Vittorio Ferrari and Barbara Caputo, in: Proceedings of the 22nd British Machine Vision Conference, 2011
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Probabilistic models for music, Jean-François Paiement, Ecole Polytechnique Fédérale de Lausanne, 2008
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A Probabilistic Model for Chord Progressions, Jean-François Paiement, Douglas Eck and Samy Bengio, in: Proceedings of the Sixth International Conference on Music Information Retrieval (ISMIR), 2005
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A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space, Jean-François Paiement, Douglas Eck, Samy Bengio and David Barber, in: Proceedings of the 22nd International Conference on Machine Learning, 2005
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A Distance Model for Rhythms, Jean-François Paiement, Yves Grandvalet, Samy Bengio and Douglas Eck, in: 25th International Conference on Machine Learning (ICML), 2008
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A Generative Model for Rhythms, Jean-François Paiement, Yves Grandvalet, Samy Bengio and Douglas Eck, in: NIPS Workshop on Brain, Music and Cognition, 2007
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Towards End-to-End Speech Recognition, Dimitri Palaz, Ecole polytechnique Fédérale de Lausanne, 2016
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Convolutional Neural Networks-based Continuous Speech Recognition using Raw Speech Signal, Dimitri Palaz, Mathew Magimai.-Doss and Ronan Collobert, in: International Conference on Acoustics, Speech and Signal Procecssing, IEEE, South Brisbane, QLD, pages 4295 - 4299, IEEE, 2015
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Analysis of CNN-based Speech Recognition System using Raw Speech as Input, Dimitri Palaz, Mathew Magimai.-Doss and Ronan Collobert, in: Proceedings of Interspeech, ISCA, Dresden, pages 11-15, ISCA, 2015
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Joint Phoneme Segmentation Inference and Classification using CRFs, Dimitri Palaz, Mathew Magimai.-Doss and Ronan Collobert, in: Global Conference on Signal and Information Processing, Atlanta, GA, pages 587 - 591, IEEE, 2014
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Perspectives and limitations of visible-thermal image pair synthesis via generative adversarial networks, Danick Panchard, François Marelli, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: Security + Defence, Target and Background Signatures VII, Proc. of SPIE, online only, pages 1186509-1--1186509-8, SPIE, 2021
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Sparse multi-view hand-object reconstruction for unseen environments, Yik Lung Pang, Changjae Oh and Andrea Cavallaro, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
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Learning, Generating and Adapting Wave Gestures for Expressive Human-Robot Interaction, M. Panteris, S. Manschitz and Sylvain Calinon, in: Proc. ACM/IEEE Intl Conf. on Human-Robot Interaction (HRI), pages 386-388, 2020
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Social Signal Processing: The Research Agenda, Maja Pantic, R. Cowie, F. D'Errico, Dirk Heylen, M. Mehu, C. Pelachaud, I. Poggi, M. Schroeder and Alessandro Vinciarelli, in: "Visual Analysis of Humans" by T.B.Moeslund, A.Hilton, V.Krueger and L.Sigal (eds.), pages 511-538, Springer Verlag, 2011
A memory of motion for visual predictive control tasks, Antonio Paolillo, Teguh Santoso Lembono and Sylvain Calinon, in: International Conference on Robotics and Automation, 2020
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GILE: A Generalized Input-Label Embedding for Text Classification, Nikolaos Pappas and James Henderson, in: Transactions of the Association for Computational Linguistics (TACL), 2019
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Deep Residual Output Layers for Neural Language Generation, Nikolaos Pappas and James Henderson, in: Proceedings of the 36th International Conference on Machine Learning (ICML), 2019
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Distinguishing the Popularity Between Topics: A System for Up-to-date Opinion Retrieval and Mining in the Web, Nikolaos Pappas, Georgios Katsimpras and Efstathios Stamatatos, in: Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics, LNCS, Samos, Greece, ACM, 2013
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Extracting Informative Textual Parts from Web Pages Containing User-Generated Content, Nikolaos Pappas, Georgios Katsimpras and Efstathios Stamatatos, in: 12th International Conference on Knowledge Management and Knowledge Technologies, ACM ICPS, Graz, Austria, pages 4:1--4:8, ACM, 2012
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An Agent-Based Focused Crawling Framework for Topic- and Genre-Related Web Document Discovery, Nikolaos Pappas, Georgios Katsimpras and Efstathios Stamatatos, in: 24th IEEE International Conference on Tools with Artificial Intelligence, Athens, Greece, IEEE, 2012
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Explicit Document Modeling through Weighted Multiple-Instance Learning, Nikolaos Pappas and Andrei Popescu-Belis, in: Journal of Artificial Intelligence Research (JAIR), 58:591--626, 2017
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Multilingual Hierarchical Attention Networks for Document Classification, Nikolaos Pappas and Andrei Popescu-Belis, in: Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pages 1015-1025, 2017
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Adaptive Sentiment-Aware One-Class Collaborative Filtering, Nikolaos Pappas and Andrei Popescu-Belis, in: Expert Systems with Applications, 43:23-41, 2016
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Human versus Machine Attention in Document Classification: A Dataset with Crowdsourced Annotations, Nikolaos Pappas and Andrei Popescu-Belis, in: Proceedings of the EMNLP 2016 Workshop on Natural Language Processing for Social Media, Austin, USA, 2016
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Combining Content with User Preferences for Non-Fiction Multimedia Recommendation: A Study on TED Lectures, Nikolaos Pappas and Andrei Popescu-Belis, in: Multimedia Tools and Applications, Special Issue on Content Based Multimedia Indexing, 74(4):1175-1197, 2015
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Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis, Nikolaos Pappas and Andrei Popescu-Belis, in: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, 2014
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Sentiment Analysis of User Comments for One-Class Collaborative Filtering over TED Talks, Nikolaos Pappas and Andrei Popescu-Belis, in: 36th ACM SIGIR Conference on Research and Development in Information Retrieval, Dublin, Ireland, ACM, 2013
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Combining Content with User Preferences for TED Lecture Recommendation, Nikolaos Pappas and Andrei Popescu-Belis, in: Proceedings of the 11th International Workshop on Content Based Multimedia Indexing, Veszprém, Hungary, IEEE, 2013
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Multilingual Visual Sentiment Concept Matching, Nikolaos Pappas, Mercan Topkara, Miriam Redi, Brendan Jou, Tao Chen, Hongyi Liu and Shih-Fu Chang, in: Proceedings of the International Conference on Multimedia Retrieval (ICMR), 2016
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Overview of the 6th Workshop on Asian Translation, Shantipriya Parida, in: Proceedings of the 6th Workshop on Asian Translation, Hong Kong, China, pages 1–35, Association for Computational Linguistics, 2019
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Abstract Text Summarization: A Low Resource Challenge, Shantipriya Parida and Petr Motlicek, in: In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), HongKong, China, pages 5, Association for Computational Linguistics (ACL), 2019
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Idiap Abstract Text Summarization System for German Text Summarization Task, Shantipriya Parida and Petr Motlicek, in: Proceedings of the 4th edition of the Swiss Text Analytics Conference, 2019
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Idiap NMT System for WAT 2019 Multimodal Translation Task, Shantipriya Parida and Petr Motlicek, in: Proceedings of the 6th Workshop on Asian Translation, Hong Kong, China, pages 175–180, Association for Computational Linguistics, 2019
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Multimodal Neural Machine Translation System for English to Bengali, Shantipriya Parida, Subhadarshi Panda, Satya Prakash Biswal, Ketan Kotwal, Arghyadeep Sen, Satya Ranjan Dash and Petr Motlicek, in: Proceedings of the First Workshop on Multimodal Machine Translation for Low Resource Languages (MMTLRL 2021), Online (Virtual Mode), pages 31--39, INCOMA Ltd., 2021
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Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution), Shantipriya Parida, Subhadarshi Panda, Amulya Ratna Dash, Esaú Villatoro-Tello, A. Seza Dogruöz, Rosa M. Ortega-Mendoza, Amadeo Hernández, Yashvardhan Sharma and Petr Motlicek, in: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas, pages 218–223, Association for Computational Linguistics, 2021
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NLPHut's Participation at WAT2021, Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek and Ondrej Bojar, in: Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 146--154, Association for Computational Linguistics, 2021
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Detection of Similar Languages and Dialects Using Deep Supervised Autoencoders, Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Mael Fabien and Petr Motlicek, in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
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Idiap Submission to Swiss-German Language Detection Shared Task, Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), CEUR Workshop Proceedings, 2020
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Towards Wine Tasting Activity Recognition for a Digital Sommelier, Mario Parra, Jesus Favela, Luis Castro and Daniel Gatica-Perez, in: Proc. ACM Workshop on Exploring Innovative Technology for Commensality and Human-Food Interaction, 2024
Exploiting Contextual Information for Speech/Non-Speech Detection, Sree Hari Krishnan Parthasarathi, Petr Motlicek and Hynek Hermansky, in: Text, Speech and Dialogue, Brno, Czech Republic, Springer-Verlag Berlin, Heidelberg, 2008
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Active Learning by Feature Mixing, Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel and Javen Qinfeng Shi, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective, Novi Patricia and Barbara Caputo, in: Proceedings of the Computer Vision and Pattern Recognition, Columbus, OH, pages 1442-1449, IEEE, 2014
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Multi-Source Adaptive Learning for Fast Control of Prosthetics Hand, Novi Patricia, Tatiana Tommasi and Barbara Caputo, in: Proceedings of the International Conference on Pattern Recognition, Stockholm, pages 2769 - 2774, 2014
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Direct Non-Invasive Brain Computer Interfaces, R. Grave de Peralta Menendez, S. L. González Andino, José del R. Millán, T. Pun and C. M. Michel, in: Proceedings of the 9th International Conference on Functional Mapping of the Human Brain, 2003
Non-Invasive Estimation of Local Field Potentials for Neuroprosthesis Control, R. Grave de Peralta Menendez, S. L. González Andino, L. Perez, Pierre W. Ferrez and José del R. Millán, in: Cognitive Processing, Special Issue on Motor Planning in Humans and Neuroprosthesis Control, 6(1), 2005
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Can Language Models Learn Analogical Reasoning? Investigating Training Objectives and Comparisons to Human Performance, Molly R. Petersen and Lonneke van der Plas, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, Association for Computational Linguistics, 2023
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Detection of disguised speech in forensic science by humans and automatic systems, Michela Pettinato, Université de Lausanne Ecole des Sciences Criminelles, 2020
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The DBOX Corpus Collection of Spoken Human-Human and Human-Machine Dialogues, Volha Petukhova, Martin Gropp, Dietrich Klakow, Anna Schmidt, Gregor Eigner, Mario Topf, Stefan Srb, Petr Motlicek, Blaise Potard, John Dines, O. Deroo, Ronny Egeler, Uwe Meinz and Steffen Liersch, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, European Language Resources Association (ELRA), 2014
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Health Talk: Understanding Practices of Popular Professional YouTubers, Thanh-Trung Phan, Chloé Michoud, Lucia Volpato, María del Río Carral and Daniel Gatica-Perez, in: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia, 2022
Learning adaptive dressing assistance from human demonstration, E. Pignat and Sylvain Calinon, in: Robotics and Autonomous Systems, 93:61-75, 2017
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Bayesian Gaussian mixture model for robotic policy imitation, Emmanuel Pignat and Sylvain Calinon, in: IEEE Robotics and Automation Letters, 4(4):4452 - 4458, 2019
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Large-Scale Image Segmentation with Convolutional Networks, Pedro H. O. Pinheiro, Sciences et Techniques de l’Ingénieur (STI), 2017
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From Image-level to Pixel-level Labeling with Convolutional Networks, Pedro H. O. Pinheiro and Ronan Collobert, in: Computer Vision and Patter Recognition (CVPR), Boston, MA, pages 1713-1721, IEEE, 2015
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Recurrent Convolutional Neural Networks for Scene Labeling, Pedro H. O. Pinheiro and Ronan Collobert, in: 31st International Conference on Machine Learning (ICML), Beijing, China, pages 82-90, JMLR, 2014
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Learning to Segments Objects Candidates, Pedro H. O. Pinheiro, Ronan Collobert and Piotr Dollar, in: Advances in Neural Information Processing Systems, Montreal, Canada, pages 1990-1998, Curran Associates, Inc., 2015
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Learning to Refine Object Segments, Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert and Piotr Dollar, in: Computer Vision - ECCV 2016, Amsterdam, pages 75-91, Springer, 2016
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Exploiting Contextual Information for Improved Phoneme Recognition, Joel Praveen Pinto, Hynek Hermansky, B. Yegnanarayana and Mathew Magimai.-Doss, in: "IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP)", 2008
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MLP Based Hierarchical System for Task Adaptation in ASR, Joel Praveen Pinto, Mathew Magimai.-Doss and Hervé Bourlard, in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Merano, Italy, 2009
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Reverse Correlation for analyzing MLP Posterior Features in ASR, Joel Praveen Pinto, G. S. V. S. Sivaram and Hynek Hermansky, in: 11th International Conference on Text, Speech, and Dialogue, 2008
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Volterra Series for Analyzing MLP based Phoneme Posterior Probability Estimator, Joel Praveen Pinto, G. S. V. S. Sivaram, Hynek Hermansky and Mathew Magimai.-Doss, in: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009
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Fast Approximate Spoken Term Detection from Sequence of Phonemes, Joel Praveen Pinto, Igor Szoke, S. R. Mahadeva Prasanna and Hynek Hermansky, in: Workshop on Searching Spontaneous Conversational Speech at SIGIR, 2008
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Local estimation of parametric point spread functions in thermal images via convolutional neural networks, Florian Piras, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: SPIE sensors + imaging, Target and Background Signatures VIII, Berlin, Germany, pages 1227009 1--8, SPIE, 2022
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Multi-image deconvolution of thermal images with a boundary condition weighting scheme, Florian Piras, François Marelli, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: Target and Background Signatures IX, International Society for Optics and Photonics, Amsterdam, pages 149-158, SPIE, 2023
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Using Chimeric Users to Construct Fusion Classifiers in Biometric Authentication Tasks: An Investigation, Norman Poh and Samy Bengio, in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2006
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F-ratio Client-Dependent Normalisation on Biometric Authentication Tasks, Norman Poh and Samy Bengio, in: Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-05), 2005
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Improving Fusion with Margin-Derived Confidence In Biometric Authentication Tasks, Norman Poh and Samy Bengio, in: Fifth Int'l. Conf. Audio- and Video-Based Biometric Person Authentication AVBPA, 2005
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A Novel Approach to Combining Client-Dependent and Confidence Information in Multimodal Biometric, Norman Poh and Samy Bengio, in: Fifth Int'l. Conf. Audio- and Video-Based Biometric Person Authentication AVBPA, 2005
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Database, Protocol and Tools for Evaluating Score-Level Fusion Algorithms in Biometric Authentication, Norman Poh and Samy Bengio, in: Fifth Int'l. Conf. Audio- and Video-Based Biometric Person Authentication AVBPA, 2005
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Why Do Multi-Stream, Multi-Band and Multi-Modal Approaches Work on Biometric User Authentication Tasks?, Norman Poh and Samy Bengio, in: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04), 2004
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Non-Linear Variance Reduction Techniques in Biometric Authentication, Norman Poh and Samy Bengio, in: Workshop on Multimodal User Authentication, 2003
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A Multi-sample Multi-source Model for Biometric Authentication, Norman Poh, Samy Bengio and Jerzy Korczak, in: IEEE International Workshop on Neural Networks for Signal Processing (NNSP), 2002
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Improving Face Authetication Using Virtual Samples, Norman Poh, Sébastien Marcel and Samy Bengio, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003
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Sparse Initial Topologies for High Order Perceptrons, Andrea De Pol, Georg Thimm and Emile Fiesler, in: Proceedings of the International Conference on Neural Networks, IEEE, 1996
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Implicit discourse relation classification with syntax-aware contextualized word representations, D. N. Popa, J. Perez, James Henderson and E. Gaussier, in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, 2019
Manual and automatic labeling of discourse connectives for machine translation (Keynote paper), Andrei Popescu-Belis, in: TextLink: Structuring Discourse in Multilingual Europe (Handbook of the Second Action Conference), Budapest, Hungary, pages 16-20, 2016
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Reference-based vs. task-based evaluation of human language technology, Andrei Popescu-Belis, in: LREC 2008 ELRA Workshop on Evaluation, ELRA, Marrakech, Morocco, 2008
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Interactive Multimodal Information Management: Shaping the Vision, Andrei Popescu-Belis and Hervé Bourlard, in: Interactive Multimodal Information Management, pages 1-17, EPFL Press, 2013
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Accessing a Large Multimodal Corpus using an Automatic Content Linking Device, Andrei Popescu-Belis, Jean Carletta, Jonathan Kilgour and Peter Poller, in: Multimodal Corpora: From Models of Natural Interaction to Systems and Applications, Springer-Verlag, 2009
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Multimodal Signal Processing for Meetings: an Introduction, Andrei Popescu-Belis and Jean Carletta, in: Multimodal Signal Processing: Human Interactions in Meetings, pages 1-11, Cambridge University Press, 2012
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Task-based evaluation of meeting browsers: from BET task elicitation to user behavior analysis, Andrei Popescu-Belis, Mike Flynn, Pierre Wellner and Philippe Baudrion, in: 6th International Conference on Language Resources and Evaluation, Marrakech, Morocco, 2008
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The ACLD: Speech-based Just-in-Time Retrieval of Meeting Transcripts, Documents and Websites, Andrei Popescu-Belis, Jonathan Kilgour, Alexandre Nanchen and Peter Poller, in: ACM Multimedia Workshop on Searching Spontaneous Conversational Speech, Florence, Italy, 2010
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Discourse-level Annotation over Europarl for Machine Translation: Connectives and Pronouns, Andrei Popescu-Belis, Thomas Meyer, Jeevanthi Liyanapathirana, Bruno Cartoni and Sandrine Zufferey, in: Proceedings of the eighth international conference on Language Resources and Evaluation (LREC), pages 5, 2012
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A Multimedia Retrieval System Using Speech Input, Andrei Popescu-Belis, Peter Poller, Jonathan Kilgour, Erik Boertjes, Jean Carletta, Sandro Castronovo, Michal Fapso, Alexandre Nanchen, Theresa Wilson, Joost de Wit and Majid Yazdani, in: Proceedings of ICMI-MLMI 2009 (11th International Conference on Multimodal Interfaces and 6th Workshop on Machine Learning for Multimodal Interaction), Cambridge, MA, 2009
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Managing Multimodal Data, Metadata and Annotations: Challenges and Solutions, Andrei Popescu-Belis, in: Multimodal Signal Processing for Human-Computer Interaction, Elsevier / Academic Press, 2009
A Speech-based Just-in-Time Retrieval System using Semantic Search, Andrei Popescu-Belis, Majid Yazdani, Alexandre Nanchen and Philip N. Garner, in: Proceedings of the ACL-HLT 2011 System Demonstrations (49th Annual Meeting of the Association for Computational Linguistics), Portland, OR, pages 80-86, 2011
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A Just-in-Time Document Retrieval System for Dialogues or Monologues, Andrei Popescu-Belis, Majid Yazdani, Alexandre Nanchen and Philip N. Garner, in: SIGDIAL 2011 (12th annual SIGDIAL Meeting on Discourse and Dialogue), Demonstration Session, Portland, OR, pages 350-352, 2011
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The Kaldi Speech Recognition Toolkit, Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, Jan Silovsky, Georg Stemmer and Karel Vesely, in: IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, Hilton Waikoloa Village, Big Island, Hawaii, US, IEEE Signal Processing Society, 2011
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Generating Exact Lattices in The WFST Framework, Daniel Povey, Mirko Hannemann, Gilles Boulianne, Lukas Burget, Arnab Ghoshal, Milos Janda, Martin Karafiat, Stefan Kombrink, Petr Motlicek, Yanmin Qian, Korbinian Riedhammer, Karel Vesely and Ngoc Thang Vu, in: Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing., The 37th International Conference on Acoustics, Speech, and Signal Processing, Kyoto, JP, Kyoto, Japan, pages 4213-4216, IEEE Signal Processing Societ, 2012
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Prior Knowledge in Kernel Methods, Alexei Pozdnoukhov, École Polytechnique Fédérale de Lausanne, 2006
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Fine-tuning Self-Supervised Models For Language Identification Using Orthonormal Constraint, Amrutha Prasad, Andrés Carofilis, Geoffroy Vanderreydt, Driss Khalil, Srikanth Madikeri, Petr Motlicek and Schüpbach Christof, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), pages 11921-11925, 2024
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Detection of S1 and S2 locations in phonocardiogram signals using zero frequency filter, RaviShankar Prasad, Gürkan Yilmaz, Olivier Chetelat and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
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COLD: The COsy Localization Database, Andrzej Pronobis and Barbara Caputo, in: International Journal of Robotics Research, 28(5), 2009
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Confidence-based Cue Integration for Visual Place Recognition, Andrzej Pronobis and Barbara Caputo, in: IEEE International Conference on Intelligent RObot Systems (IROS), 2007
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The More you Learn, the Less you Store: Memory-Controlled Incremental SVM, Andrzej Pronobis and Barbara Caputo, in: Proceedings of International Cognitive Vision Workshop (ICVW) 2006), 2006
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A Discriminative Approach to Robust Visual Place Recognition, Andrzej Pronobis, Barbara Caputo, Patric Jensfelt and Henrik I. Christensen, in: IEEE International Conference on Intelligent RObot Systems (IROS), 2006
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SVM-based Discriminative Accumulation Scheme for Place Recognition, Andrzej Pronobis, Oscar Martinez Monos and Barbara Caputo, in: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA08), 2008
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Word Sense Consistency in Statistical and Neural Machine Translation, Xiao Pu, École Polytechnique Fédérale de Lausanne, 2018
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Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues, Xiao Pu, Laura Mascarell and Andrei Popescu-Belis, in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, Association for Computational Linguistics, 2017
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Leveraging Compounds to Improve Noun Phrase Translation from Chinese and German, Xiao Pu, Laura Mascarell, Andrei Popescu-Belis, Mark Fishel, Ngoc-Quang Luong and Martin Volk, in: Proceedings of the ACL-IJCNLP 2015 Student Research Workshop, Beijing, China, pages 8-15, 2015
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Sense-Aware Statistical Machine Translation using Adaptive Context-Dependent Clustering, Xiao Pu, Nikolaos Pappas and Andrei Popescu-Belis, in: Proceedings of Second Conference on Machine Translation (WMT17), 2017
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Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement, Xin Quan, Marco Valentino, Louise A Dennis and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
Vessel Segmentation and Branching Detection using an Adaptive Profile Kalman Filter in Retinal Blood Vessel Structure Analysis, Pedro Quelhas and James Boyce, in: Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA 2003, Springer-Verlag LNCS, 2003
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Natural Scene Image Modeling using Color and Texture Visterms., Pedro Quelhas and Jean-Marc Odobez, in: Conference on Image and Video Retrieval CIVR, 2006
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Fusion of Structural and Color Local Descriptors for Enhanced Object Recognition, Pedro Quelhas and Jean-Marc Odobez, in: Proceedings IEEE WIAMIS 2004(5th International Workshop on Image Analysis for Multimedia Interactive Services,',','), 21-23 April, 2004, Lisboa, Portugal, 2004
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A Thousand Words in a Scene, Pedro Quelhas, Jean-Marc Odobez, Daniel Gatica-Perez and Tinne Tuytelaars, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
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Finger vein Liveness Detection Using Motion Magnification, Ramachandra Raghavendra, Manasa Avinas, Christoph Busch and Sébastien Marcel, in: IEEE International Conference on Biometrics: Theory, Applications and Systems, pages 1-7, 2015
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Synergizing Natural Language Towards Enhanced Shared Autonomy, Shalutha Rajapakshe, Atharva Dastenavar and Emmanuel Senft, in: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024
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More Efficiency in Multiple Kernel Learning, Alain Rakotomamonjy, Francis Bach, Stéphane Canu and Yves Grandvalet, in: International Conference on Machine Learning (ICML), 2007
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Language Independent Query by Example Spoken Term Detection, Dhananjay Ram, École Polytechnique Fédérale de Lausanne, 2019
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Neural Network based End-to-End Query by Example Spoken Term Detection, Dhananjay Ram, Lesly Miculicich and Hervé Bourlard, in: IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2020
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Multilingual Bottleneck Features for Query by Example Spoken Term Detection, Dhananjay Ram, Lesly Miculicich and Hervé Bourlard, in: IEEE Automatic Speech Recognition and Understanding Workshop, 2019
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Transformers, Tables and Frame Semantics, Mario Ramirez, Alex Bogatu, Norman Paton and Andre Freitas, in: International Conference on Semantic Computing, 2023
Aligning Large and Small Language Models via Chain-of-Thought Reasoning, Leonardo Ranaldi and Andre Freitas, in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Speech Enhancement using an Improved MMSE Estimator with Laplacian Prior, Mehdi Rashidinejad, Hamid Reza Abutalebi and Ali Akbar Tadaion, in: Proceedings of 5th International Symposium on Telecommunications, 2010
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Acoustic Data-driven Grapheme-to-Phoneme Conversion using KL-HMM, Ramya Rasipuram and Mathew Magimai.-Doss, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2012
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Improving Articulatory Feature and Phoneme Recognition using Multitask Learning, Ramya Rasipuram and Mathew Magimai.-Doss, in: Artificial Neural Networks and Machine Learning - ICANN 2011, pages 299-306, Springer Berlin / Heidelberg, 2011
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Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition, Ramya Rasipuram and Mathew Magimai.-Doss, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pages 5192 - 5195, 2011
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Integrated Pronunciation Learning for Automatic Speech Recognition Using Probabilistic Lexical Modeling, Ramya Rasipuram, Marzieh Razavi and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech and Signal Processing, South Brisbane, QLD, pages 5176-5180, 2015
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Probabilistic Lexical Modeling and Unsupervised Training for Zero-Resourced ASR, Ramya Rasipuram, Marzieh Razavi and Mathew Magimai.-Doss, in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, 2013
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Mode of Teaching Based Segmentation and Annotation of Video Lectures, Yogesh Singh Rawat, Chidansh A. Bhatt and Mohan S. Kankanhalli, in: International Workshop on Content-Based Multimedia Indexing, 2014
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An HMM-Based Formalism for Automatic Subword Unit Derivation and Pronunciation Generation, Marzieh Razavi and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech and Signal Processing, pages 4639-4643, IEEE, 2015
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On Recognition of Non-Native Speech Using Probabilistic Lexical Model, Marzieh Razavi and Mathew Magimai.-Doss, in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), 2014
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On Modeling Context-Dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, Marzieh Razavi, Ramya Rasipuram and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech, and Signal Processing, Florence, IT, pages 7659 - 7663, IEEE, 2014
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Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition, Behrooz Razeghi, Parsa Rahimi and Sébastien Marcel, in: 49th IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2024
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Learning Joint Space Reference Manifold for Reliable Physical Assistance, Amirreza Razmjoo, Tilen Brecelj, Kristina Savevska, Ales Ude, Tadej Petric and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), pages 10412-10417, 2023
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Theories and Models of Teams and Group, R. Reiter-Palmon, T. Sinha, J. Gevers, Jean-Marc Odobez and G. Volpe, in: Small Group Research, 48(5):544--567, 2017
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ROCKIT: Roadmap for Conversational Interaction Technologies, Steve Renals, Jean Carletta, K Edwards, Hervé Bourlard, Philip N. Garner, Andrei Popescu-Belis, Dietrich Klakow, A Girenko, Volha Petukhova, P Wacker, A Joscelyne, C Kompis, S Aliwell, W Stevens and Y Sabbah, in: Proceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges (RFMIR '14), pages 39-42, ACM, 2014
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Recognition and Understanding of Meetings The AMI and AMIDA Projects, Steve Renals, Thomas Hain and Hervé Bourlard, in: Proc. of the IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU'07, 2007
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Statistical Models in Automatic Speech Recognition, Sandrine Revaz, University of Fribourg, Department of Mathematics, 2015
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Learning Large Margin Likelihood for Realtime Head Pose Tracking, Elisa Ricci and Jean-Marc Odobez, in: IEEE Int. Conference on Image Processing, Cairo, Egypt, IEEE, 2009
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Detection and Application of Influence Rankings in Small Group Meetings, Rutger Rienks, Dong Zhang, Daniel Gatica-Perez and Wilfried Post, in: In the Eighth International Conference on Multimodal Interfaces (ICMI'06), 2006
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Face Detection and Verification using Local Binary Patterns, Yann Rodriguez, École Polytechnique Fédérale de Lausanne, 2006
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Face Authentication Using Adapted Local Binary Pattern Histograms, Yann Rodriguez and Sébastien Marcel, in: 9th European Conference on Computer Vision (ECCV), 2006
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Evaluating Shape Descriptors for Detection of Maya Hieroglyphs, Edgar Roman-Rangel, Jean-Marc Odobez and Daniel Gatica-Perez, in: in Proc. Mexican Conf. on Pattern Recognition, Queretaro, 2013
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Boosting Localized Features for Speaker and Speech Recognition, Anindya Roy, Ecole Polytechnique Federale de Lausanne (EPFL), 2011
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A Fast Parts-based Approach to Speaker Verification using Boosted Slice Classifiers, Anindya Roy, Mathew Magimai.-Doss and Sébastien Marcel, in: IEEE Transactions on Information Forensics and Security, 7(1):241-254, 2012
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Phoneme Recognition using Boosted Binary Features, Anindya Roy, Mathew Magimai.-Doss and Sébastien Marcel, in: IEEE Intl. Conference on Acoustics, Speech and Signal Processing 2011, 2011
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Fast Speaker Verification on Mobile Phone data using Boosted Slice Classifiers, Anindya Roy, Mathew Magimai.-Doss and Sébastien Marcel, in: IAPR IEEE International Joint Conference on Biometrics, Washington DC, 2011
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BOOSTED BINARY FEATURES FOR NOISE-ROBUST SPEAKER VERIFICATION, Anindya Roy, Mathew Magimai.-Doss and Sébastien Marcel, in: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, Texas, 2010
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Visual processing-inspired Fern-Audio features for Noise-Robust Speaker Verification, Anindya Roy and Sébastien Marcel, in: ACM 25th Symposium on Applied Computing, 2010, Sierre, Switzerland, Association for Computing Machinery, 2010
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Crossmodal Matching of Speakers using Lip and Voice Features in Temporally Non-overlapping Audio and Video Streams, Anindya Roy and Sébastien Marcel, in: 20th International Conference on Pattern Recognition, Istanbul, Turkey, International Association for Pattern Recognition (IAPR), Istanbul, Turkey, 2010
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Introducing Crossmodal Biometrics:Person Identification from Distinct Audio & Visual Streams, Anindya Roy and Sébastien Marcel, in: IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems, 2010
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Decomposing Natural Logic Inferences for Neural NLI, Julia Rozanova, Deborah Mendes, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: BlackBoxNLP: Workshop on analyzing and interpreting neural networks for NLP, 2022
On Interventional Probing in High Dimensions: An NLI Case Study, Julia Rozanova, Marco Valentino, Lucas Cordeiro and Andre Freitas, in: Findings of the 17th European Chapter of the Association for Computational Linguistics, 2023
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models, Julia Rozanova, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
Learning Optimal Controllers in Human-robot Cooperative Transportation Tasks with Position and Force Constraints, L. Rozo, D. Bruno, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Hamburg, Germany, pages 1024-1030, 2015
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Learning Force and Position Constraints in Human-robot Cooperative Transportation, L. Rozo, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE Intl Symposium on Robot and Human Interactive Communication (Ro-Man), Edinburgh, Scotland, UK, pages 619-624, 2014
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Learning Manipulability Ellipsoids for Task Compatibility in Robot Manipulation, L. Rozo, N. Jaquier, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, pages 3183-3189, 2017
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The Young and the City: Crowdsourcing Urban Awareness in a Developing Country, Salvador Ruiz-Correa, Darshan Santani and Daniel Gatica-Perez, in: Proceedings of the First International Conference on IoT in Urban Space, pages 74-79, 2014
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Automatic Staging of Audio with Emotions, Lakshmi Saheer and Milos Cernak, in: International Conference on Affective Computing and Intelligent Interaction, 2013
Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis, Lakshmi Saheer, John Dines and Philip N. Garner, in: IEEE Transactions on Audio, Speech and Language Processing, 2012
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Implementation of VTLN for Statistical Speech Synthesis, Lakshmi Saheer, John Dines, Philip N. Garner and Hui Liang, in: Proceedings of ISCA Speech Synthesis Workshop, Kyoto, Japan, 2010
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Understanding Factors in Emotion Perception, Lakshmi Saheer and Blaise Potard, in: ISCA Speech Synthesis Workshop, 2013
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Combining Vocal Tract Length Normalization with Hierarchical Linear Transformations, Lakshmi Saheer, Junichi Yamagishi, Philip N. Garner and John Dines, in: IEEE Journal of Selected Topics in Signal Processing - Special Issue on Statistical Parametric Speech Synthesis, 8(2):262 - 272, 2014
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COMBINING VOCAL TRACT LENGTH NORMALIZATION WITH HIERARCHIAL LINEAR TRANSFORMATIONS, Lakshmi Saheer, Junichi Yamagishi, Philip N. Garner and John Dines, in: Proceedings in International conference on Speech and Signal processing, Kyoto, Japan, pages 4493-4496, IEEE SPS (ICASSP), 2012
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ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees, Sina Sajadmanesh and Daniel Gatica-Perez, in: The 17th ACM International Conference on Web Search and Data Mining, 2024
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Recent Developments in Social Signal Processing, Albert Ali Salah, Maja Pantic and Alessandro Vinciarelli, in: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pages 380-385, 2011
More than Words: Inference of Socially Relevant Information from Nonverbal Vocal Cues in Speech, Hugues Salamin, Gelareh Mohammadi, Khiet Truong and Alessandro Vinciarelli, in: Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces: Theoretical and Practical Issues, A.Esposito (ed.), LNCS,Springer, 2010
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Introduction to Sequence Analysis for Human Behavior Understanding, Hugues Salamin and Alessandro Vinciarelli, in: "Computer Analysis of Human Behavior" by A.Salah and T.Gevers (eds.), pages 21-40, Springer Verlag, 2011
An Audio Visual Corpus for Emergent Leader Analysis, Dairazalia Sanchez-Cortes, Oya Aran and Daniel Gatica-Perez, in: Multimodal Corpora for Machine Learning: Taking Stock and Road mapping the Future, 2011
Identifying Emergent Leadership in Small Groups using Nonverbal Communicative Cues, Dairazalia Sanchez-Cortes, Oya Aran, Marianne Schmid Mast and Daniel Gatica-Perez, in: Proc. ICMI-MLMI '10 International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, Beijing, ACM New York, NY, USA ©2010, 2010
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Inferring Mood in Ubiquitous Conversational Video, Dairazalia Sanchez-Cortes, Joan-Isaac Biel, Shiro Kumano, Junji Yamato, Kazuhiro Otsuka and Daniel Gatica-Perez, in: 12th International Conference on Mobile and Ubiquitous Multimedia, Luleå, Sweden, ACM Press, 2013
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Predicting Remote Versus Collocated Group Interactions using Nonverbal Cues, Dairazalia Sanchez-Cortes, Dinesh Babu Jayagopi and Daniel Gatica-Perez, in: Proc. Int. Conf. on Multimodal Interfaces, Workshop on Multimodal Sensor-Based Systems and Mobile Phones for Social Computing,, Cambridge, 2009
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Statistical Transformations of Frontal Models for Non-Frontal Face Verification, Conrad Sanderson and Samy Bengio, in: Proceedings of the IEEE International Conference on Image Processing (ICIP), 2004
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Augmenting Frontal Face Models for Non-Frontal Verification, Conrad Sanderson and Samy Bengio, in: Proceedings of the 2003 Workshop on Multimodal User Authentication (MMUA'03), 2003
Robust Features for Frontal Face Authentication in Difficult Image Conditions, Conrad Sanderson and Samy Bengio, in: Proceedings of 4th International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA-03), 2003
On Accuracy/Robustness/Complexity Trade-Offs in Face Verification, Conrad Sanderson, Fabien Cardinaux and Samy Bengio, in: IEEE International Conference on Information Technology and Applications, ICITA, 2005
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Noise Resistant Audio-Visual Verification via Structural Constraints, Conrad Sanderson and Kuldip K. Paliwal, in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003
Computational Analysis of Urban Places Using Mobile Crowdsensing, Darshan Santani, Ecole Polytechnique Federale de Lausanne, 2016
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The Night is Young: Urban Crowdsourcing of Nightlife Patterns, Darshan Santani, Joan-Isaac Biel, Florian Labhart, Jasmine Truong, Sara Landolt, Emmanuel Kuntsche and Daniel Gatica-Perez, in: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, ACM, 2016
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Loud and Trendy: Crowdsourcing Impressions of Social Ambiance in Popular Indoor Urban Places, Darshan Santani and Daniel Gatica-Perez, in: Proceedings of the 23rd ACM International Conference on Multimedia, Brisbane, Australia, pages 211-220, ACM, 2015
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Speaking Swiss: Languages and Venues in Foursquare, Darshan Santani and Daniel Gatica-Perez, in: Proceedings of the 21st ACM International Conference on Multimedia, Barcelona, Spain, pages 501-504, ACM, 2013
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Revisiting the Generality of the Rank-based Human Mobility Model, Darshan Santani and Daniel Gatica-Perez, in: Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, Zurich, Switzerland, pages 1209-1218, ACM, 2013
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InnerView: Learning Place Ambiance from Social Media Images, Darshan Santani, Rui Hu and Daniel Gatica-Perez, in: Proceedings of the 24th ACM International Conference on Multimedia, ACM, 2016
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CommuniSense: Crowdsourcing Road Hazards in Nairobi, Darshan Santani, Jidraph Njuguna, Tierra Bills, Aisha W. Bryant, Reginald Bryant, Jonathan Ledgard and Daniel Gatica-Perez, in: Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, Copenhagen, Denmark, pages 445-456, ACM, 2015
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Looking at Cities in Mexico with Crowds, Darshan Santani, Salvador Ruiz-Correa and Daniel Gatica-Perez, in: Proceedings of the 2015 Annual Symposium on Computing for Development, London, United Kingdom, pages 127-135, ACM, 2015
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Automatic Recognition of Emergent Social Roles in Small Group Interactions, A. Sapru and Hervé Bourlard, in: Multimedia, IEEE Transactions, 17(5):746 - 760, 2015
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Investigating the Impact of Language Style and Vocal Expression on Social Roles of Participants in Professional Meetings, A. Sapru and Hervé Bourlard, in: Affective Computing and Intelligent Interaction, Geneva, pages 324-329, IEEE, 2013
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Automatic Speaker Role Labeling in AMI Meetings: Recognition of Formal and Social Roles, A. Sapru and Fabio Valente, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, 2012, 2012
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Improving Speaker Diarization using social role information, A. Sapru, Sree Harsha Yella and Hervé Bourlard, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2014
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Are GAN-based Morphs Threatening Face Recognition?, Eklavya Sarkar, Pavel Korshunov, Laurent Colbois and Sébastien Marcel, in: International Conference on Acoustics, Speech and Signal Processing, 2022
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On the Utility of Speech and Audio Foundation Models for Marmoset Call Analysis, Eklavya Sarkar and Mathew Magimai.-Doss, in: 4th International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, 2024
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Optical Multilayer Perceptrons based on Liquid Crystal Devices, Indu Saxena, Emile Fiesler, N. Collings and A. R. Pourzand, in: Optics and Information, Cercle SFO/SEE d'Opto-informatique, Mulhouse, France, European Optical Society (EOS), 1995
An All-Optical Forward Propagation Multilayer Neural Network, Indu Saxena and Emile Fiesler, in: From Natural to Artificial Neural Computation, Springer Verlag, 1995
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Timbre and Rhythmic TRAP-TANDEM features for music information retrieval, Nicolas Scaringella, in: "Int. Conf. on Music Information Retrieval (ISMIR)", 2008
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Joint Adaptive Colour Modelling and Skin, Hair and Clothing Segmentation Using Coherent Probabilistic Index Maps, Carl Scheffler and Jean-Marc Odobez, in: British Machine Vision Conference, British Machine Vision Association, Dundee, UK, 2011
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Incorporating Domain Knowledge with Video and Voice Data Analysis in News Broadcasts, Kim Shearer, Chitra Dorai and Svetha Venkatesh, in: Proceedings of the Sixth ACM International Conference on Knowledge Discovery and Data Mining, ACM, Boston, MA, USA, 2000
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Inferring Visual Attention and Addressee in Human Robot Interaction, Samira Sheikhi, École Polytechnique Fédérale de Lausanne (EPFL), 2014
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Context Aware Addressee Estimation for Human Robot Interaction, Samira Sheikhi, Dinesh Babu Jayagopi, Vasil Khalidov and Jean-Marc Odobez, in: Proceedings of the 6th Workshop on Eye Gaze in Intelligent Human Machine Interaction: Gaze in Multimodal Interaction, 2013
Leveraging the robot dialog state for visual focus of attention recognition, Samira Sheikhi, Vasil Khalidov, David Klotz, Britta Wrede and Jean-Marc Odobez, in: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, 2013
Recognizing the Visual Focus of Attention for Human Robot Interaction, Samira Sheikhi, Vasil Khalidov and Jean-Marc Odobez, in: IEEE International Conference on Intelligent Robots and Systems (IROS) - Human Behavior Understanding Workshop(IROS-HBU), 2012
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Investigating the Midline Effect for Visual Focus of Attention Recognition, Samira Sheikhi and Jean-Marc Odobez, in: Int Conf. on Multimodal Interaction (ICMI), Santa Monica, 2012
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Robot Learning using Tensor Networks, Suhan Shetty, Ecole Polytechnique Fédérale de Lausanne, 2024
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Generalized Policy Iteration using Tensor Approximation for Hybrid Control, Suhan Shetty, Teng Xue and Sylvain Calinon, in: International Conference on Learning Representations (ICLR), 2024
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ManiGaze: a Dataset for Evaluating Remote Gaze Estimator in Object Manipulation Situations, Remy Siegfried, Bozorgmehr Aminian and Jean-Marc Odobez, in: Symposium on Eye Tracking Research and Applications, Stuttgart, Germany, pages 5, ACM, 2020
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Robust Unsupervised Gaze Calibration using Conversation and Manipulation Attention Priors, Remy Siegfried and Jean-Marc Odobez, in: ACM Transactions on Multimedia Computing, Communications, and Applications, 18(1):26, 2022
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A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos, Remy Siegfried, Yu Yu and Jean-Marc Odobez, in: 2019 ACM Symposium on Eye Tracking Research and Applications, pages 5, ACM, 2019
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A Laser-based Dual-arm System for Precise Control of Collaborative Robots, J. Silverio, G. Clivaz and Sylvain Calinon, in: IEEE International Conference on Robotics and Automation, 2021
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Uncertainty-aware imitation learning using kernelized movement primitives, J. Silverio, Y. Huang, F. J. Abu-Dakka, L. Rozo and D. G. Caldwell, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
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Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints, J. Silverio, Y. Huang, L. Rozo, Sylvain Calinon and D. G. Caldwell, in: Proc. of the IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), pages 6552-6559, 2018
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Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems, J. Silverio, L. Rozo, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Hamburg, Germany, pages 464-470, 2015
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On Use of Task Independent Training Data in Tandem Feature Extraction, Sunil Sivadas and Hynek Hermansky, in: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04), 2004
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Optimizer Benchmarking Needs to Account for Hyperparameter Tuning, Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi and Francois Fleuret, in: Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, 2020
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Order Matters: A Distributed Sampling Method for Multi-Object Tracking, Kevin C. Smith, in: British Machine Vision Conference (BMVC), 2004
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Detecting Abandoned Luggage Items in a Public Space, Kevin C. Smith, Pedro Quelhas and Daniel Gatica-Perez, in: IEEE Performance Evaluation of Tracking and Surveillance Workshop (PETS), 2006
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Multi-Person Tracking in Meetings: A Comparative Study, Kevin C. Smith, Sascha Schreiber, Vítezslav Beran, Igor Potúcek, Gerhard Rigoll and Daniel Gatica-Perez, in: Multimodal Interaction and Related Machine Learning Algorithms (MLMI), 2006
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Posterior Features for Template-based ASR, Serena Soldo, Mathew Magimai.-Doss, Joel Praveen Pinto and Hervé Bourlard, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, Czech Republic, 2011
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Gradient-based Methods for Deep Model Interpretability, Suraj Srinivas, École polytechnique fédérale de Lausanne, 2021
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Factors that Affect Personalization of Robots for Older Adults, Laura Stegner, Emmanuel Senft and Bilge Mutlu, in: CONCATENATE Workshop at HRI 2023 in Stockholm, Sweden, 2023
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Dynamic Bayesian Network Based Speech Recognition with Pitch and Energy as Auxiliary Variables, Todd Andrew Stephenson, Jaume Escofet, Mathew Magimai.-Doss and Hervé Bourlard, in: 2002 IEEE International Workshop on Neural Networks for for Signal Processing (NNSP~2002), 2002
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Speech recognition of spontaneous, noisy speech using auxiliary information in Bayesian networks, Todd Andrew Stephenson, Mathew Magimai.-Doss and Hervé Bourlard, in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003
Auxiliary Variables in Conditional Gaussian Mixtures for Automatic Speech Recognition, Todd Andrew Stephenson, Mathew Magimai.-Doss and Hervé Bourlard, in: Seventh International Conference on Spoken Language Processing (ICSLP~2002), 2002
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Leveraging speaker diarization for meeting recognition from distant microphones, Andreas Stolcke, Gerald Friedland and David Imseng, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, pages 4390--4393, 2010
An Alternative Scanning Strategy to Detect Faces, Venkatesh Bala Subburaman and Sébastien Marcel, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, USA, 2010
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Evaluating Intra- and Crosslingual Adaptation for Non-native Speech Recognition in a Bilingual Environment, Gyorgy Szaszak and Philip N. Garner, in: Proceedings of the 4th IEEE International Conference on Cognitive Infocommunications, IEEE, Budapest, Hungary, pages 357-361, 2013
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Sharingan: A Transformer Architecture for Multi-Person Gaze Following, Samy Tafasca, Anshul Gupta and Jean-Marc Odobez, in: Int. Conference Computer Vision and Pattern Recognition (CVPR), Seatle, 2024
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ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour, Samy Tafasca, Anshul Gupta and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
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Enabling speech applications using Ad-Hoc Microphone Arrays, Mohammad J. Taghizadeh, École Polytechnique Fédérale de Lausanne, 2015
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Ad-Hoc Microphone Array Calibration from Partial Distance Measurements, Mohammad J. Taghizadeh, Afsaneh Asaei, Philip N. Garner and Hervé Bourlard, in: Proceeding of 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014
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Noise Intrusiveness Factors in Speech Telecommunications, Raphael Ullmann, Hervé Bourlard, Jens Berger and Anna Llagostera Casanovas, in: Proceedings of the AIA-DAGA 2013 International Conference on Acoustics, Merano, Italy, pages 436-439, 2013
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An Empirical Comparison of Semantic Similarity Methods for Analyzing down-streaming Automatic Minuting task, Aditya Upadhyay, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh and Petr Motlicek, in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36), In ACL Anthology Proceedings, 2022
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Automatic Summarization for Creative Writing: Denoising Auto-Encoder based Pipeline Method for Generating Summary of Movie Scripts, Aditya Upadhyay, Nidhir Bhavsar, Aakash Bhatnagar, Muskaan Singh and Petr Motlicek, in: Automatic Summarization for Creative Writing, International Conference on Computational Linguistics (COLING 2022), 2022
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Data-driven extraction of spectral-dynamics based posteriors, Fabio Valente, in: Handbook of Natural Language Processing and Machine Translation Handbook of Natural Language Processing and Machine Translation, Springer, 2011
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Hierarchical Processing of the Modulation Spectrum for GALE Mandarin LVCSR system, Fabio Valente, Mathew Magimai.-Doss, Christian Plahl and Ravuri Suman, in: Proceedings of the 10thAnnual Conference of the International Speech Communication Association (Interspeech), Brighton, 2009
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Speaker Diarization of Meetings based on Speaker Role N-gram Models, Fabio Valente, Deepu Vijayasenan and Petr Motlicek, in: Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
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Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, Marco Valentino, Danilo Carvalho and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
TextGraphs 2022 Shared Task on Natural Language Premise Selection, Marco Valentino, Deborah Mendes, Mokanarangan Thayaparan, Andre Freitas and Dmitry Ustalov, in: Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, 2022
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Annotator-centric Active Learning for Subjective NLP Tasks, Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah and Enrico Liscio, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2024

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Cross-Database Evaluation With an Open Finger Vein Sensor, Matthias Vanoni, Pedro Tome, Laurent El Shafey and Sébastien Marcel, in: IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS), Rome, Italy, pages 30-35, IEEE, 2014
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Bridging the Past, Present and Future: Modeling Scene Activities From Event Relationships and Global Rules, Jagannadan Varadarajan, Remi Emonet and Jean-Marc Odobez, in: IEEE Conference on Computer Vision and Pattern Recognition, 2012, Providence, Rhode Island, USA, 2012
Sparsity in Topic Models, Jagannadan Varadarajan, Remi Emonet and Jean-Marc Odobez, in: Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond, MIT Press, 2012
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A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, Jagannadan Varadarajan, Remi Emonet and Jean-Marc Odobez, in: NIPS-2010 Workshop on Practical Applications of Sparse Modeling: Open Issues and New Directions, 2010
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Extracting Motifs from Time Series Generated by Concurrent Activities., Jagannadan Varadarajan, Remi Emonet and Jean-Marc Odobez, in: NIPS workshop on Learning and Planning from Batch Time Series Data, 2010
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Topic Models for Scene Analysis and Abnormality Detection, Jagannadan Varadarajan and Jean-Marc Odobez, in: 9th International Workshop in Visual Surveillance, IEEE, Kyoto, Japan, IEEE, 2009
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Hardware-effective Approaches for Skill Extraction in Job Offers and Resumes, Laura Vásquez-Rodríguez, Bertrand Audrin, Samuel Michel, Samuele Galli, Julneth Rogenhofer, Jacopo Negro Cusa and Lonneke van der Plas, in: The 4th Workshop on Recommender Systems for Human Resources, in conjunction with the 18th ACM Conference on Recommender Systems, 2024
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End-to-End Accented Speech Recognition, Thibault Viglino, Petr Motlicek and Milos Cernak, in: International Conference on Speech and Language Processing, Interspeech, ISCA, Graz, Austria, pages 2140-2144, 2019
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Speaker Diarization of Meetings based on large TDOA feature vectors, Deepu Vijayasenan and Fabio Valente, in: Proceedings of International Conference on Acoustic, Speech and Signal Processing, 2012
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An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization, Deepu Vijayasenan, Fabio Valente and Hervé Bourlard, in: IEEE Transactions on Audio Speech and Language Processing, 19(2), 2011
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Multistream Speaker Diarization beyond Two Acoustic Feature Streams, Deepu Vijayasenan, Fabio Valente and Hervé Bourlard, in: International Conference on Acoustics, Speech, and Signal Processing, 2010
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MUTUAL INFORMATION BASED CHANNEL SELECTION FOR SPEAKER DIARIZATION OF MEETINGS DATA, Deepu Vijayasenan, Fabio Valente and Hervé Bourlard, in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, 2009
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KL Realignment for Speaker Diarization with Multiple Feature Streams, Deepu Vijayasenan, Fabio Valente and Hervé Bourlard, in: 10th Annual Conference of the International Speech Communication Association, 2009
COMBINATION OF AGGLOMERATIVE AND SEQUENTIAL CLUSTERING FOR SPEAKER DIARIZATION, Deepu Vijayasenan, Fabio Valente and Hervé Bourlard, in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2008
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AGGLOMERATIVE INFORMATION BOTTLENECK FOR SPEAKER DIARIZATION OF MEETINGS DATA, Deepu Vijayasenan, Fabio Valente and Hervé Bourlard, in: IEEE Automatic Speech Recognition and Understanding Workshop, 2007
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MULTISTREAM SPEAKER DIARIZATION THROUGH INFORMATION BOTTLENECK SYSTEM OUTPUTS COMBINATION, Deepu Vijayasenan, Fabio Valente and Petr Motlicek, in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, 2011
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WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems, Michael Villamizar, Angel Martínez-González, Olivier Canévet and Jean-Marc Odobez, in: IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, NEW ZEALAND, pages 109-114, 2018
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Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings, Esaú Villatoro-Tello, Srikanth Madikeri, Petr Motlicek, Aravind Ganapathiraju and Alexei V. Ivanov, in: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2022
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Idiap & UAM participation at GermEval 2020: Classification and Regression of Cognitive and Motivational Style from Text, Esaú Villatoro-Tello, Shantipriya Parida, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the GermEval 2020 Shared Task on the Classification and Regression of Cognitive and Motivational style from Text, 2020
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Indexation de Documents Manuscrits, Alessandro Vinciarelli, in: Proceedings du Colloque International Francophone sur l'Ecrit et le Document (CIFED06), 2006
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Sociometry Based Multiparty Audio Recordings Summarization, Alessandro Vinciarelli, in: Proceedings of International Conference on Pattern Recognition (ICPR 2006), 2006
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Sociometry Based Multiparty Audio Recordings Segmentation, Alessandro Vinciarelli, in: Proceedings of the IEEE Conference on Multimedia and Expo (ICME 2006), 2006
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Noisy Text Categorization, Alessandro Vinciarelli, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(12), 2005
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Effect of Recognition Errors on Information Retrieval Performance, Alessandro Vinciarelli, in: Proceedings of International Workshop on Frontiers in Handwriting Recognition, 2004
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Noisy Text Categorization, Alessandro Vinciarelli, in: Proceedings of International Conference on Pattern Recognition (ICPR), 2004
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Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition, Alessandro Vinciarelli and Samy Bengio, in: Proceedings of 8$^{th}$ International Conference on Frontiers on Handwriting Recognition, 2002
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Offline Recognition of Large Vocabulary Cursive Handwritten Text, Alessandro Vinciarelli, Samy Bengio and Horst Bunke, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2003
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Canal9: A database of political debates for analysis of social interactions, Alessandro Vinciarelli, Alfred Dielmann, Sarah Favre and Hugues Salamin, in: Proceedings of the International Conference on Affective Computing and Intelligent Interaction (IEEE International Workshop on Social Signal Processing), Amsterdam, Netherlands, 2009
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Off-Line Cursive Script Recognition Based on Continuous Density HMM, Alessandro Vinciarelli and Juergen Luettin, in: Proceedings of 7th International Workshop on Frontiers in Handwriting Recognition, 2000
A Survey of Personality Computing, Alessandro Vinciarelli and Gelareh Mohammadi, in: IEEE Transaction on Affective Computing, 5(3):273-291, 2014
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Towards a Technology of Nonverbal Communication: Vocal Behavior in Social and Affective Phenomena, Alessandro Vinciarelli and Gelareh Mohammadi, in: "Affective Computing and Interaction: Psychological, Cognitive and Neuroscientific Perspectives" by D. Gokcay & G. Yildirim (eds.), igi-global, 2010
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Mobile Social Signal Processing: vision and research issues, Alessandro Vinciarelli, Roderick Murray-Smith and Hervé Bourlard, in: Proceedings of the International Workshop on Mobile HCI, Lisbon, pages 513-516, 2010
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Social Signals, their Function, and Automatic Analysis: A Survey, Alessandro Vinciarelli, Maja Pantic, Hervé Bourlard and Alex Pentland, in: Proceedings of International Conference on Multimodal Interfaces (to appear), 2008
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Social Signal Processing: Understanding Nonverbal Communication in Social Interactions, Alessandro Vinciarelli and Fabio Valente, in: Proceedings of Measuring Behavior 2010, Eindhoven (The Netherlands), 2010
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Fusion of Acoustic and Linguistic Information Using Supervised Autoencoder for Improved Emotion Recognition, Bogdan Vlasenko, RaviShankar Prasad and Mathew Magimai.-Doss, in: 2nd Multimodal Sentiment Analysis Challenge (MuSe '21), October 24, 2021, Virtual Event, China, 2021
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COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, Bogdan Vlasenko, Sargam Vyas and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech and Signal Processing, 2024
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Multilingual Deep Neural Network based Acoustic Modeling For Rapid Language Adaptation, Ngoc Thang Vu, David Imseng, Daniel Povey, Petr Motlicek, Tanja Schultz and Hervé Bourlard, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, pages 7639-7643, IEEE, 2014
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CCDb-HG: Novel Annotations and Gaze-Aware Representations for Head Gesture Recognition, Pierre Vuillecard, Arya Farkhondeh, Michael Villamizar and Jean-Marc Odobez, in: 18th IEEE Int. Conference on Automatic Face and Gesture Recognition (FG), Istanbul,, 2024
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Fast Transformers with Clustered Attention, Apoorv Vyas, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of the International Conference on Neural Information Processing Systems, 2020
LATTICE-FREE MMI ADAPTATION OF SELF-SUPERVISED PRETRAINED ACOUSTIC MODELS, Apoorv Vyas, Srikanth Madikeri and Hervé Bourlard, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
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Multi-Adversarial Learning for Cross-Lingual Word Embeddings, Haozhou Wang, James Henderson and Paola Merlo, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, pages 463-472, 2021
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings, Haozhou Wang, James Henderson and Paola Merlo, in: Proc. 2019 Conference on Empirical Methods in Natural Language Processing, 2019
Tracking Interacting Objects Using Intertwined Flows, Xinchao Wang, Engin Turetken, Francois Fleuret and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
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HMM Mixtures (HMM2) for Robust Speech Recognition, Katrin Weber, Ecole Polytechnique Federale de Lausanne, 2003
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Increasing Speech Recognition Noise Robustness with HMM2, Katrin Weber, Samy Bengio and Hervé Bourlard, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 02), 2002
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Explaining models relating objects and privacy, Alessio Xompero, Myriam Bontonou, Jean-Michel Arbona, Emmanouil Benetos and Andrea Cavallaro, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024
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Fast Human Detection from Joint Appearance and Foreground Feature Subset Covariances, Jian Yao and Jean-Marc Odobez, in: Computer Vision and Image Understanding, 115(10):1414-1426, 2011
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Fast human detection from videos using covariance features, Jian Yao and Jean-Marc Odobez, in: European Conference on Computer Vision, workshop on Visual Surveillance (ECCV-VS), Marseille, 2008
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Multi-camera multi-person 3d space tracking with mcmc in surveillance scenarios, Jian Yao and Jean-Marc Odobez, in: European Conference on Computer Vision, workshop on Multi Camera and Multi-modal Sensor Fusion Algorithms and Applications (ECCV-M2SFA2), Marseille, 2008
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Multi-camera 3d person tracking with particle filter in a surveillance environment, Jian Yao and Jean-Marc Odobez, in: 16th European Signal processing Conference (EUSIPCO), 2008
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Multi-Layer Background Subtraction Based on Color and Texture, Jian Yao and Jean-Marc Odobez, in: CVPR 2007 Workshop on Visual Surveillance (VS2007), 2007
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Learning to Rank on Network Data, Majid Yazdani, Ronan Collobert and Andrei Popescu-Belis, in: Mining and Learning with Graphs, 2013
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A Random Walk Framework to Compute Textual Semantic Similarity: a Unified Model for Three Benchmark Tasks, Majid Yazdani and Andrei Popescu-Belis, in: Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010 ), Carnegie Mellon University, Pittsburgh, PA, USA, 2010
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Artificial neural network features for speaker diarization, Sree Harsha Yella, Andreas Stolcke and Malcolm Slaney, in: IEEE Spoken Language Technology workshop, South Lake Tahoe, USA, 2014
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Unsupervised Representation Learning for Gaze Estimation, Yu Yu and Jean-Marc Odobez, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
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Evaluation Databases, Stan Z.Li, Javier Galbally, André Anjos and Sébastien Marcel, in: Handbook of Biometric Anti-Spoofing, pages 247-278, Springer-Verlag, 2014
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A MultiPath Network for Object Detection, Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala and Piotr Dollar, in: Proceedings of the British Machine Vision Conference, BMVA Press, 2016
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Variable Duration Movement Encoding with Minimal Intervention Control, M. Zeestraten, Sylvain Calinon and D. G. Caldwell, in: Proc. of the IEEE Intl Conf. on Robotics and Automation (ICRA), pages 497-503, 2016
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Learned Minimal Intervention Control Synthesis based on Hidden Semi-Markov Models, M. Zeestraten, Sylvain Calinon and D. G. Caldwell, in: Proc. of the 8th Intl Workshop on Human-Friendly Robotics, pages 17, 2015
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Programming by Demonstration for Shared Control with an Application in Teleoperation, M. Zeestraten, I. Havoutis and Sylvain Calinon, in: IEEE Robotics and Automation Letters (RA-L), 3(3):1848-1855, 2018
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Learning Task-Space Synergies using Riemannian Geometry, M. Zeestraten, I. Havoutis, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Vancouver, Canada, pages 73-78, IEEE, 2017
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An Approach for Imitation Learning on Riemannian Manifolds, M. Zeestraten, I. Havoutis, J. Silverio, Sylvain Calinon and D. G. Caldwell, in: IEEE Robotics and Automation Letters (RA-L), 2(3):1240-1247, 2017
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Online motion synthesis with minimal intervention control and formal safety guarantees, M. Zeestraten, A. Pereira, M. Althoff and Sylvain Calinon, in: Proc. IEEE Intl Conf. on Systems, Man, and Cybernetics, Budapest, Hungary, 2016
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Probabilistic Graphical Models for Human Interaction Analysis, Dong Zhang, École Polytechnique Fédérale de Lausanne, 2006
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Exploring Contextual Information in a Layered Framework for Group Action Recognition, Dong Zhang, Daniel Gatica-Perez and Samy Bengio, in: In the Eighth International Conference on Multimodal Interfaces (ICMI'06), 2006
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Modeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework, Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain A. McCowan and Guillaume Lathoud, in: the Second IEEE Workshop on Event Mining: Detection and Recognition of Events in Video, In Association with CVPR, 2004
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Multimodal Group Action Clustering in Meetings, Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain A. McCowan and Guillaume Lathoud, in: ACM 2nd International Workshop on Video Surveillance & Sensor Networks in conjunction with 12th ACM International Conference on Multimedia, 2004
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Real-Time Face Detection Using Boosting Learning in Hierarchical Feature Spaces, Dong Zhang, S. Z. Li and Daniel Gatica-Perez, in: the International Conference on Pattern Recognition (ICPR), 2004
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Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders, Yingji Zhang, Danilo Carvalho, Marco Valentino, Ian Pratt-Hartmann and Andre Freitas, in: Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
Encoding Explanatory Knowledge for Zero-shot Science Question Answering, Zili Zhou, Marco Valentino, Donal Landers and Andre Freitas, in: 14th International Conference on Computational Semantics, 2021
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