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2024
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers, Jordan Meadows, Marco Valentino, Damien Teney and Andre Freitas, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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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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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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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
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
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
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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Bi-directional Training for Composed Image Retrieval via Text Prompt Learning, Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney and Stephen Gould, in: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
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BLM-It - Blackbird Language Matrices for Italian: A CALAMITA Challenge, Chunyang Jiang, Giuseppe Samo, Vivi Nastase and Paola Merlo, in: Proceedings of the 10th Italian Conference on Computational Linguistics, 2024
Breaking Template Protection: Reconstruction of Face Images from Protected Facial Templates, Hatef Otroshi Shahreza and Sébastien Marcel, in: 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024
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Can We Learn to Select the Right Algorithm for OOD Generalization?, Liangze Jiang and Damien Teney, in: Out Of Distribution Generalization in Computer Vision, Workshop at ECCV, 2024
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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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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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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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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D-LGP: Dynamic Logic-Geometric Program for Reactive Task and Motion Planning, Teng Xue, Razmjoo Amirreza and Sylvain Calinon, in: IEEE International Conference on Robotics and Automation, 2024
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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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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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Demographic Fairness Transformer for Bias Mitigation in Face Recognition, Ketan Kotwal and Sébastien Marcel, in: Proceedings of IEEE International Joint Conference on Biometrics (IJCB2024), 2024
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Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction, Sergio Burdisso, Srikanth Madikeri and Petr Motlicek, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA, pages 5421–5440, Association for Computational Linguistics, 2024
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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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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
Entity Matching Across Small Networks Using Node Attributes, Zahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth Madikeri, Petr Motlicek, Erinc Dikici, Gerhard Backfried, Marek Kovac and Daniel Kudenko, in: ECAI 2024 - 27th European Conference on Artificial Intelligence, October 19-24, 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Proceedings, 2024
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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
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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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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Extending the Cooperative Dual-Task Space in Conformal Geometric Algebra, Tobias Löw and Sylvain Calinon, in: Proc. IEEE Intl Conf. on Robotics and Automation, 2024
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Face Recognition Using Lensless Camera, Hatef Otroshi Shahreza, Alexandre Veuthey and Sébastien Marcel, in: Proceedings of the 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024
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Face Reconstruction from Partially Leaked Facial Embeddings, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024
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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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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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FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data, Alexander Unnervik, Anjith George, Christophe Ecabert, Parsa Rahimi, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, pages 892-901, 2024
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GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction, Andrei Catalin Coman, Christos Theodoropoulos, Marie-Francine Moens and James Henderson, in: Proceedings of the 3rd Workshop on Knowledge Augmented Methods for NLP, Association for Computational Linguistics, 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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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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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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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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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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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
Latent Enhancing AutoEncoder for Occluded Image Classification, Ketan Kotwal, in: Proceedings of International Conference on Image Processing, 2024
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Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions, Dairazalia Sanchez-Cortes, Sergio Burdisso, Esaú Villatoro-Tello and Petr Motlicek, in: Proceedings of the 15th International Conference of the CLEF Association: Experimental IR Meets Multilinguality, Multimodality, and Interaction, Grenoble, France, pages 127-138, Springer Nature Switzerland, 2024
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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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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
Multitask Speech Recognition and Speaker Change Detection for Unknown Number of Speakers, Shashi Kumar, Srikanth Madikeri, Nigmatulina Iuliia, Esaú Villatoro-Tello, Petr Motlicek, Karthik Pandia D S, S. Pavankumar Dubagunta and Aravind Ganapathiraju, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12592-12596, IEEE, 2024
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Neural Redshift: Random Networks are not Random Functions, Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann and Ehsan Abbasnejad, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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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Open-Vocabulary Object 6D Pose Estimation, Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro and Fabio Poiesi, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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OptoMechanical Modulation Tomography for Ungated Compressive Cardiac Light Sheet Microscopy, François Marelli and Michael Liebling, in: 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pages 1--4, 2024
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OptoMechanical Modulation Tomography for Ungated Compressive Cardiac Light Sheet Microscopy, François Marelli and Michael Liebling, in: 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pages 1--4, 2024
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Parametric point spread function estimation for thermal imaging systems using easy-to-manufacture random pattern targets, Florian Piras, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: Target and Background Signatures X: Traditional Methods and Artificial Intelligence, pages 1319905-(1-9), SPIE, 2024
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Predicting Heart Activity from Speech using Data-driven and Knowledge-based features, Gasser Elbanna, Zohreh Mostaani and Mathew Magimai.-Doss, in: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2024
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Probability-Aware Word-Confusion-Network-to-Text Alignment Approach for Intent Classification, Esaú Villatoro-Tello, Srikanth Madikeri, Bidisha Sharma, Driss Khalil, Shashi Kumar, Nigmatulina Iuliia, Petr Motlicek and Aravind Ganapathiraju, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12617-12621, IEEE, 2024
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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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Recursive Forward Dynamics for Serial Kinematic Chains using Conformal Geometric Algebra, Tobias Löw and Sylvain Calinon, in: In Proc. Intl Workshop on the Algorithmic Foundations of Robotics (WAFR), 2024
Reliability Estimation of News Media Sources: Birds of a Feather Flock Together, Sergio Burdisso, Dairazalia Sanchez-Cortes, Esaú Villatoro-Tello and Petr Motlicek, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, pages 6900–6918, Association for Computational Linguistics, 2024
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σ-GPTs: A New Approach to Autoregressive Models., Arnaud Pannatier, Evann Courdier and Francois Fleuret, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024
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SDFR: Synthetic Data for Face Recognition Competition, Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik and Sébastien Marcel, in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), IEEE, 2024
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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
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data, Hatef Otroshi Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi and Sébastien Marcel, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 3173-3183, 2024
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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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Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models, Andre Freitas and Leonardo Ranaldi, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
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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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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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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TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR, Shashi Kumar, Srikanth Madikeri, Juan Zuluaga-Gomez, Iuliia Thorbecke, Esaú Villatoro-Tello, Sergio Burdisso, Petr Motlicek, Karthik Pandia D S and Aravind Ganapathiraju, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 20988–20995, Association for Computational Linguistics (ACL), 2024
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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
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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Understanding the effects of language-specific class imbalance in multilingual fine-tuning, Vincent Jung and Lonneke van der Plas, in: Findings of the European chapter of Association for Computational Linguistics, 2024, 2024
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Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities, Hatef Otroshi Shahreza and Sébastien Marcel, in: NeurIPS Workshop on New Frontiers in Adversarial Machine Learning, 2024
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Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data, Dilermando Queiroz Neto, André Anjos and Lilian Berton, in: Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 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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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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2023
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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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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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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Blackbird Language Matrices Tasks for Generalization, Paola Merlo, Chunyang Jiang, Giuseppe Samo and Vivi Nastase, in: Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP, ACL, 2023
Blackbox Face Reconstruction from Deep Facial Embeddings Using A Different Face Recognition Model, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, pages 2435-2439, 2023
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BLESS: Benchmarking Large Language Models on Sentence Simplification, Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego and Matthew Shardlow, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, 2023
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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
Building Structured Synthetic Datasets: The Case of Blackbird Language Matrices (BLMs), Paola Merlo, Giuseppe Samo, Vivi Nastase and Chunyang Jiang, in: Proceedings of the 9th Italian Conference on Computational Linguistics, 2023
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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Can personalised hygienic masks be used to attack face recognition systems?, Alain Komaty, Vedrana Krivokuca, Christophe Ecabert and Sébastien Marcel, in: Proceedings of IEEE International Joint Conference on Biometrics (IJCB2023), 2023
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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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Data-driven Urban Building Energy Modeling with Machine Learning in Satom (CH), Ahad Montazeri, Jérôme Kämpf and Guglielmina Mutani, in: 6th International IEEE Conference AND Workshop in Obuda on Electrical and Power Engineering, 2023
Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation, Teng Xue, Hakan Girgin, Teguh Santoso Lembono and Sylvain Calinon, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), pages 4999-5005, 2023
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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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Document-level Text Simplification with Coherence Evaluation, Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla and Sophia Ananiadou, in: Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability, 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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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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Enhancing Multi-modal Classification of Violent Events using Image Captioning, Daniel Vallejo-Aldana, A. Pastor López-Monroy and Esaú Villatoro-Tello, in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), CEUR Workshop Proceedings, Jaén, Spain, 2023
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ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields, Mohammad Mahdi Johari, Camilla Carta and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), pages 17408-17419, 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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Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network, Hatef Otroshi Shahreza and Sébastien Marcel, in: Thirty-seventh Conference on Neural Information Processing Systems, 2023
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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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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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HyperMixer: An MLP-based Low Cost Alternative to Transformers, Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli, Francois Fleuret and James Henderson, in: Proc. of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Toronto, Canada, pages 15632-15654, 2023
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Inversion of Deep Facial Templates using Synthetic Data, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the IEEE International Joint Conference on Biometric, 2023
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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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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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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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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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MLP-Hash: Protecting Face Templates via Hashing of Randomized Multi-Layer Perceptron, Hatef Otroshi Shahreza, Vedrana Krivokuca and Sébastien Marcel, in: Proceedings of the 31st European Signal Processing Conference, Helsinki, Finland, 2023
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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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NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023
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
Quantified Canine: Inferring Dog Personality From Wearables, Lakmal Buddika Meegahapola, Marios Constantinides, Zoran Radivojevic, Hongwei Li, Daniele Quercia and Michael S. Eggleston, in: Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI) 2023, Association for Computing Machinery, 2023
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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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Remote Cancelable Biometric System for Verification and Identification Applications, Hatef Otroshi Shahreza, Amina Bassit, Sébastien Marcel and Raymond Veldhuis, in: Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG), 2023
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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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SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023
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Situated Participatory Design: A Method for In Situ Design of Robotic Interaction with Older Adults, Laura Stegner, Emmanuel Senft and Bilge Mutlu, in: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
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Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling, Alireza Mohammadshahi and James Henderson, in: Procceedings of 8th Workshop on Representation Learning for NLP, 2023
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Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 19662-19672, 2023
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The AI4Autism Project: A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification, Samy Tafasca, Anshul Gupta, Nada Kojovic, Mirko Gelsomini, Thomas Maillart, Michela Papandrea, Marie Schaer and Jean-Marc Odobez, in: Companion Publication of the 25th International Conference on Multimodal Interaction, Paris, France, pages 414–425, Association for Computing Machinery, 2023
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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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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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Towards learning emotion information from short segments of speech, Tilak Purohit, Sarthak Yadav, Bogdan Vlasenko, S. Pavankumar Dubagunta and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, IEEE, 2023
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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
2022
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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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
An anomaly detection approach for backdoored neural networks: face recognition as a case study, Alexander Unnervik and Sébastien Marcel, in: 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022), Darmstadt, Germany, 2022
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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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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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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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Automatic Minuting: A Pipeline Method for Generating Minutes, Kartik Shinde, Tirthankar Ghosal, Muskaan Singh and Ondrej Bojar, in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36), In proceedings of ACL Anthology, 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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Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation, Florian Mai and James Henderson, in: Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Association for Computational Linguistics, Online, pages 468–488, 2022
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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
[DOI]
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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Case-Based Abductive Natural Language Inference, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022
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Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track, Tilak Purohit, Imen Ben Mahmoud, Bogdan Vlasenko and Mathew Magimai.-Doss, in: Proceedings of the ICML Expressive Vocalizations Workshop held in conjunction with the 39th International Conference on Machine Learning, Maryland, USA, 2022
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Conversational Speech Recognition Needs Data? Experiments with Austrian German, Julian Linke, Philip N. Garner, Gernot Kubin and Barbara Schuppler, in: Proceedings of the 13th Language Resources and Evaluation Conference, European Language Resources Association, pages 4684--4691, 2022
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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
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
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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Face Reconstruction from Deep Facial Embeddings using a Convolutional Neural Network, Hatef Otroshi Shahreza, Vedrana Krivokuca and Sébastien Marcel, in: Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, IEEE, 2022
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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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GeoNeRF: Generalizing NeRF with Geometry Priors, Mohammad Mahdi Johari, Yann Lepoittevin and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Graph Refinement for Coreference Resolution, Lesly Miculicich and James Henderson, in: Findings of Association for >Computational Linguistics: ACL 2022, 2022
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
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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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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Hybrid Protection of Biometric Templates by Combining Homomorphic Encryption and Cancelable Biometrics, Hatef Otroshi Shahreza, Christian Rathgeb, Dailé Osorio-Roig, Vedrana Krivokuca, Sébastien Marcel and Christoph Busch, in: Proceedings of the 2022 International Joint Conference on Biometrics (IJCB), Abu Dhabi, United Arab Emirates (UAE), IEEE, 2022
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IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach, Sergio Burdisso, Zuluaga-Gomez. Juan, Esaú Villatoro-Tello, Martin Fajcik, Muskaan Singh, Pavel Smrz and Petr Motlicek, 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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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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Imitation of Manipulation Skills Using Multiple Geometries, Boyang Ti, Yongsheng Gao, Jie Zhao and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), 2022
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Indexing Protected Deep Face Templates by Frequent Binary Patterns, Dailé Osorio-Roig, Christian Rathgeb, Hatef Otroshi Shahreza, Christoph Busch and Sébastien Marcel, in: Proceedings of the 2022 International Joint Conference on Biometrics (IJCB), Abu Dhabi, United Arab Emirates (UAE), IEEE, 2022
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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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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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Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers, Seema Wazarkar, muskan garg, Muskaan Singh and Ondrej Bojar, in: International Conference on Language Resources and Evaluation (LREC 2022), 2022
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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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Paumer: Patch Pausing Transformer for Semantic Segmentation, Evann Courdier, Prabhu Teja Sivaprasad and Francois Fleuret, in: 33th British Machine Vision Conference 2022, London, UK, 21 - 24 November 2022, 2022
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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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Residual Feature Pyramid Network for Enhancement of Vascular Patterns, Ketan Kotwal and Sébastien Marcel, in: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
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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
Symmetry-induced Disentanglement on Graphs, Giangiacomo Mercatali, Vikas Garg and Andre Freitas, in: Advances in Neural Information Processing Systems 35, 2022
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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Towards Accessible Sign Language Learning and Assessment, Neha Tarigopula, Sandrine Tornay, Skanda Muralidhar and Mathew Magimai.-Doss, in: ACM International Conference on Multimodal Interaction, Bangalore, INDIA, pages 626-631, 2022
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UM-DFKI Maltese Speech Translation, Aiden Williams, Kurt Abela, Rishu Kumar, Martin Bär, Hannah Billinghurst, Kurt Micallef, Ahnaf Mozib Samin, Andrea DeMarco, Lonneke van der Plas and Claudia Borg, in: Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), 2022
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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Visually Grounded Interpretation of Noun-Noun Compounds in English, Inga Lang, Lonneke van der Plas, Malvina Nissim and Albert Gatt, in: Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, Association for Computational Linguistics, 2022
Voyager: Data Discovery for Onboarding in Data Science, Alex Bogatu, Norman Paton, Mark Douthwaite and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2022
Why Scholars Are Diagramming Neural Network Models, Guy Marshall, Caroline Jay and Andre Freitas, in: 13th International Conference on the Theory and Application of Diagrams, 2022
2021
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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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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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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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
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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Challenges for Using Impact Regularizers to Avoid Negative Side Effects, David Lindner, Kyle Matoba and Alexander Meulemans, in: SafeAI 2021 - AAAI's Workshop on Artificial Intelligence Safety, 2021
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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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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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Deep Auto-Encoding and Biohashing for Secure Finger Vein Recognition, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Toronto, Canada, 2021
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DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation, Mohammad Mahdi Johari, Camilla Carta and Francois Fleuret, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 6039-6048, 2021
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Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders, Giangiacomo Mercatali and Andre Freitas, in: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Does My Representation Capture X? Probe-Ably, Deborah Mendes, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (Demonstration track), 2021
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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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Explainable Inference Over Grounding-Abstract Chains for Science Questions, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2021
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Explainable Natural Language Reasoning via Conceptual Unification, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
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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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Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models, Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney and Stephen Gould, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
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Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning, Christos Theodoropoulos, James Henderson, Andrei Catalin Coman and Marie-Francine Moens, in: Proceedings of the 25th Conference on Computational Natural Language Learning, Online, pages 337-348, Association for Computational Linguistics, 2021
Intrinsically-Motivated Robot Learning of Bayesian Probabilistic Movement Primitives, Thibaut Kulak and Sylvain Calinon, in: ICRA workshop: "Towards Curious Robots: Modern Approaches for Intrinsically-Motivated Intelligent Behavior", 2021
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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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Learning to Translate Low-Resourced Swiss German Dialectal Speech into Standard German Text, Abbas Khosravani, Philip N. Garner and Alexandros Lazaridis, in: IEEE Automatic Speech Recognition and Understanding Workshop, Colombia, Cartagena, IEEE, 2021
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Locally Private Graph Neural Networks, Sina Sajadmanesh and Daniel Gatica-Perez, in: ACM Conference on Computer and Communications Security (CCS), 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
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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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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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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On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning, Marc Tanti, Lonneke van der Plas, Claudia Borg and Albert Gatt, in: Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
On the Recognition Performance of BioHashing on state-of-the-art Face Recognition models, Hatef Otroshi Shahreza, Vedrana Krivokuca and Sébastien Marcel, in: Proceedings of the 13th IEEE International Workshop on Information Forensics and Security (WIFS), Montpellier, France, IEEE, 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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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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Optics Versus Computation: Influence of Illumination and Reconstruction Model Accuracy in Focal-Plane-Scanning Optical Projection Tomography, François Marelli and Michael Liebling, in: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, pages 567-570, IEEE, 2021
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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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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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Probabilistic Iterative LQR for Short Time Horizon MPC, Teguh Santoso Lembono and Sylvain Calinon, in: International Conference on Intelligent Robots and Systems, pages 579-585, 2021
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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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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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Sentence-level Planning for Especially Abstractive Summarization, Andreas Marfurt and James Henderson, in: Proceedings of the Third Workshop on New Frontiers in Summarization, pages 1--14, Association for Computational Linguistics, 2021
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STAR: Cross-modal Statement Representation for Selecting Relevant Mathematical Premises, Deborah Mendes and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
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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Switching Contexts: Transportability Measures for NLP, Guy Marshall, Mokanarangan Thayaparan, Philip Osborne and Andre Freitas, in: 14th International Conference on Computational Semantics, 2021
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Test time Adaptation through Perturbation Robustness, Prabhu Teja Sivaprasad and Francois Fleuret, in: Workshop on Distribution Shifts, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
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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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Uncertainty Reduction for Model Adaptation in Semantic Segmentation, Prabhu Teja Sivaprasad and Francois Fleuret, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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Unification-based Reconstruction of Multi-hop Explanations for Science Questions, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics, 2021
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Unshuffling data for improved generalization in visual question answering, Damien Teney, Ehsan Abbasnejad and Anton van den Hengel, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
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Visual Focus of Attention Estimation in 3D Scene with an Arbitrary Number of Targets, Remy Siegfried and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pages 9, IEEE, 2021
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What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP, Oskar Wysocki, Malina Florea, Donal Landers and Andre Freitas, in: EMNLP, 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021
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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2020
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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A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language, Sandrine Tornay, Necati Cihan Camgoz, Richard Bowden and Mathew Magimai.-Doss, in: Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI '20 Companion), 2020
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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
Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing, Lakmal Buddika Meegahapola, Salvador Ruiz-Correa and Daniel Gatica-Perez, in: 19th International Conference on Mobile and Ubiquitous Multimedia, ACM, Essen, Germany, pages 162–166, Association for Computing Machinery, 2020
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An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition, Sandrine Tornay, Oya Aran and Mathew Magimai.-Doss, in: Proceedings of the International Conference on Language Resources and Evaluation LREC 2020, 2020
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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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Analysis and Transfer of Human Movement Manipulability in Industry-like Activities, N. Jaquier, L. Rozo and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, 2020
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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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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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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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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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DOMAIN ADAPTATION FOR GENERALIZATION OF FACE PRESENTATION ATTACK DETECTION IN MOBILE SETTINGS WITH MINIMAL INFORMATION, Amir Mohammadi, Sushil Bhattacharjee and Sébastien Marcel, in: 45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, IEEE, 2020
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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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Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs, Julian Fritsch, S. Pavankumar Dubagunta and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020
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Exact Preimages of Neural Network Aircraft Collision Avoidance Systems, Kyle Matoba and Francois Fleuret, in: Machine Learning for Engineering Modeling, Simulation, and Design Workshop at Neural Information Processing Systems 2020, 2020
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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
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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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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Idiap and UAM Participation at MEX-A3T Evaluation Campaign, Esaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Shantipriya Parida, Sajit Kumar and Petr Motlicek, in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), pages 6, CEUR Workshop Proceedings, 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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Learning Urban Nightlife Routines from Mobile Data, Ada Pozo, Thanh-Trung Phan and Daniel Gatica-Perez, in: Proc. Int. Conf. on Mobile and Ubiquitous Multimedia, Essen, Germany, 2020
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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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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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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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Partially-supervised Mention Detection, Lesly Miculicich and James Henderson, in: Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, 2020
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Plug and Play Autoencoders for Conditional Text Generation, Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Online, 2020
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Protecting Mobile Food Diaries from Getting too Personal, Lakmal Buddika Meegahapola, Salvador Ruiz-Correa and Daniel Gatica-Perez, in: 19th International Conference on Mobile and Ubiquitous Multimedia, Essen, Germany, pages 212–222, Association for Computing Machinery, 2020
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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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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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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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The societal and ethical relevance of computational Creativity, Michele Loi, Eleonora Viganò and Lonneke van der Plas, in: Proceedings of the International Conference on Computational Creativity, 2020
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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Towards Multilingual Sign Language Recognition, Sandrine Tornay, Marzieh Razavi and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
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Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement, Thanh-Trung Phan, Florian Labhart, Skanda Muralidhar and Daniel Gatica-Perez, in: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020
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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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2019
#Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram, Thanh-Trung Phan, Skanda Muralidhar and Daniel Gatica-Perez, in: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, Trento, Italy, 2019
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A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION, Srikanth Madikeri, Subhadeep Dey and Petr Motlicek, in: In Proceedings of ICASSP 2019, Brighton, ENGLAND, pages 5786-5790, 2019
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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 Learning-Based Framework for Quantized Compressed Sensing, Rabeeh Karimi Mahabadi, Junhong lin and Volkan Cevher, in: A Learning-Based Framework for Quantized Compressed Sensing, 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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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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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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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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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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An End-to-end Network to Synthesize Intonation Using a Generalized Command Response Model, François Marelli, Bastian Schnell, Hervé Bourlard, T. Dutoit and Philip N. Garner, in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, pages 7040-7044, IEEE, 2019
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AN INVESTIGATION OF MULTILINGUAL ASR USING END-TO-END LF-MMI, Sibo Tong, Philip N. Garner and Hervé Bourlard, in: International Conference on Acoustics, Speech and Signal Processing, 2019
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ANALYZING UNCERTAINTIES IN SPEECH RECOGNITION USING DROPOUT, Apoorv Vyas, Pranay Dighe, Sibo Tong and Hervé Bourlard, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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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BookTubing Across Regions: Examining Differences based on Nonverbal and Verbal Cues, Chinchu Thomas, Dinesh Jayagopi and Daniel Gatica-Perez, in: Proc. ACM Int. Conf. on Interactive Experiences for Television and Online Video (TVX), Salford, ENGLAND, 2019
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CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model, Florian Mai, Lukas Galke and Ansgar Scherp, in: International Conference on Learning Representations, New Orleans, Louisiana, USA, 2019
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CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning, José Vázquez-Canteli, Jérôme Kämpf, Gregor Henze and Zoltán Nagy, in: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, New-York, USA, pages 356-357, ACM, 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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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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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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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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Full-Gradient Representation for Neural Network Visualization, Suraj Srinivas and Francois Fleuret, in: Advances in Neural Information Processing Systems, 2019
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Generalized temporal sampling with active illumination in optical microscopy, Christian Jaques and Michael Liebling, in: Proceeding of the SPIE Conference Optics and Photonics, Wavelets and Sparsity XVIII, SPIE, San Diego, California, United States, SPIE, 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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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
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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Improving dual-arm assembly by master-slave compliance, M. Suomalainen, Sylvain Calinon, E. Pignat and V. Kyrki, in: Proc. IEEE Intl Conf. on Robotics and Automation, pages 8676-8682, 2019
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Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis, Yu Yu, Gang Liu and Jean-Marc Odobez, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019
Joint estimation of RETF vector and power spectral densities for speech enhancement based on alternating least squares, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: IEEE International Conference on Acoustics, Speech and Signal Processing, pages 795--799, 2019
Learning an event sequence embedding for event-based deep stereo, Stepan Tulyakov, Francois Fleuret, Martin Kiefel, Peter Gehler and Michael Hirsch, in: Proceedings of the IEEE International Conference on Computer Vision, 2019
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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Multi-Spectral Widefield Microscopy of the Beating Heart through Post-Acquisition Synchronization and Unmixing, Christian Jaques, Linda Bapst-Wicht, Daniel F. Schorderet and Michael Liebling, in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, pages 1382-1385, 2019
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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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Neural VTLN for Speaker Adaptation in TTS, Bastian Schnell and Philip N. Garner, in: Proc. 10th ISCA Speech Synthesis Workshop, ISCA, Vienna, Austria, pages 6, 2019
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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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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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Processing Megapixel Images with Deep Attention-Sampling Models, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of International Conference on Machine Learning, 2019
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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
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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Social Multimedia, Diversity, and Global South Cities: A Double Blind Side, Daniel Gatica-Perez, Darshan Santani, Joan-Isaac Biel and Thanh-Trung Phan, in: Proc. ACM Workshop on Fairness, Accountability, and Transparency in Multimedia (FAT/MM), Nice, 2019
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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
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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Virtual High-Framerate Microscopy of the Beating Heart via Sorting of Still Images, Olivia Mariani, Kevin G. Chan, Alexander Ernst, Nadia Mercader and Michael Liebling, in: 2019 IEEE 16th International Symposium on Biomedical Imaging, pages 312--315, 2019
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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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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
2018
Ambiance in Social Media Venues: Visual Cue Interpretation by Machines and Crowds, Gulcan Can, Yassir Benkhedda and Daniel Gatica-Perez, in: IEEE CVPR Workshop on Visual Understanding of Subjective Attributes, 2018
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Analysis of Language Dependent Front-End for Speaker Recognition, Srikanth Madikeri, Subhadeep Dey and Petr Motlicek, in: Proceedings of Interspeech 2018, Hyderabad, INDIA, pages 1101-1105, 2018
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Bimanual Skill Learning with Pose and Joint Space Constraints, J. Silverio, Sylvain Calinon, L. Rozo and D. G. Caldwell, in: Proc. of the IEEE-RAS Intl Conf. on Humanoid Robots (Humanoids), 2018
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Complexity reduction of eigenvalue decomposition-based diffuse power spectral density estimators using the power method, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: Proc. International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, pages 451-455, 2018
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CONTEXT-AWARE ATTENTION MECHANISM FOR SPEECH EMOTION RECOGNITION, Gaetan Ramet, Philip N. Garner, Michael Baeriswyl and Alexandros Lazaridis, in: IEEE Workshop on Spoken Language Technology, Athens, Greece, pages 126-131, 2018
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Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model, Yu Yu, Gang Liu and Jean-Marc Odobez, in: European Conference on Computer Vision Workshop, 2018
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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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DNN based speaker embedding using content information for text-dependent speaker verification, Subhadeep Dey, Takafumi Koshinaka, Petr Motlicek and Srikanth Madikeri, in: Proceedings of 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018
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Document-Level Neural Machine Translation with Hierarchical Attention Networks, Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas and James Henderson, in: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
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End-to-end text-dependent speaker verification using novel distance measures, Subhadeep Dey, Srikanth Madikeri and Petr Motlicek, in: Proceedings of Interspeech 2018, Hyderabad, INDIA, Aug 02-Sep 06, 2018, pages 3598-3602, 2018
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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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Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data, Pranay Dighe, Hervé Bourlard and Afsaneh Asaei, in: IEEE Workshop on Spoken Language Technology, Athens, GREECE, pages 581-587, IEEE, 2018
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Fast Language Adaptation Using Phonological Information, Sibo Tong, Philip N. Garner and Hervé Bourlard, in: Proceedings of Interspeech 2018, Hyderabad, INDIA, pages 2459-2463, 2018
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Geodesic Convolutional Shape Optimization, Pierre Baqué, Edoardo Remelli, Francois Fleuret and Pascal Fua, in: Proceedings of the International Conference on Machine Learning, 2018
Geometry-aware Robot Manipulability Transfer, N. Jaquier, L. Rozo and Sylvain Calinon, in: R:SS Workshop on Learning and Inference in Robotics: Integrating Structure, Priors and Models, 2018
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Geometry-aware Tracking of Manipulability Ellipsoids, N. Jaquier, L. Rozo, D. G. Caldwell and Sylvain Calinon, in: Robotics: Science and Systems, Pittsburgh, USA, 2018
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Iterative alternating least-aquares approach to jointly estimate the RETFs and the diffuse PSD, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: Proc. ITG conference on Speech Communication, Oldenburg, Germany, 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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Knowledge Transfer with Jacobian Matching, Suraj Srinivas and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning, 2018
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Kronecker Recurrent Units, Cijo Jose, Moustapha Cisse and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning, 2018
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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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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Not All Samples Are Created Equal: Deep Learning with Importance Sampling, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of International Conference on Machine Learning, 2018
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On Learning to Identify Genders from Raw Speech Signal Using CNNs, Selen Hande Kabil, Hannah Muckenhirn and Mathew Magimai.-Doss, in: Proceedings of Interspeech, Hyderabad, INDIA, pages 287-291, 2018
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Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching, Stepan Tulyakov, Anton Ivanov and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2018
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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Pulse-based Features for Face Presentation Attack Detection, Guillaume Heusch and Sébastien Marcel, in: Proceedings of BTAS 2018, special session on Image and Video Forensics in Biometrics, 2018
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Robust and Discriminative Speaker Embedding via Intra-Class Distance Variance Regularization, Nam Le and Jean-Marc Odobez, in: Proceedings of Interspeech, Hyderabad, INDIA, pages 2257-2261, 2018
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Self-Attentive Residual Decoder for Neural Machine Translation, Lesly Miculicich, Nikolaos Pappas, Dhananjay Ram and Andrei Popescu-Belis, in: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 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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SIIP: An Innovative Speaker Identification Approach for Law Enforcement Agencies, Khaled Khelif, yann Mombrun, Gideon Hazzani, Petr Motlicek, Srikanth Madikeri, Farhan Sahito, Damien Kelly, Luca Scarpatto, Emmanouil Chatzigavriil and Gerhard Backfried, in: Big Data and Artificial Intelligence for Military Decision Making, http://www.sto.nato.int/, pages PT-1 - 1: PT-1 - 14, STO, 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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Speaker Inconsistency Detection in Tampered Video, Pavel Korshunov and Sébastien Marcel, in: European Signal Processing Conference, 2018
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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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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
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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Towards Quantifying the Entropy of Fingervein Patterns across Different Feature Extractors, Vedrana Krivokuca and Sébastien Marcel, in: 2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA), 2018
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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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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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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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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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2017
#Healthy #Fondue #Dinner: Analysis and Inference of Food and Drink Consumption Patterns on Instagram, Thanh-Trung Phan and Daniel Gatica-Perez, in: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017
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A Context-Aware Speech recognition and Understanding System for Air Traffic Control Domain, Youssef Oualil, Dietrich Klakow, Gyorgy Szaszak, Ajay Srinivasamurthy, Hartmut Helmke and Petr Motlicek, in: Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, Okinawa, Japan, 2017
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A Domain Adaptation Approach to Improve Speaker Turn Embedding Using Face Representation, Nam Le and Jean-Marc Odobez, in: ACM International Conference on Multimodal Interaction, Glasgow, Scotland, ACM, 2017
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A Generative Model for Intention Recognition and Manipulation Assistance in Teleoperation, Ajay Kumar Tanwani and Sylvain Calinon, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
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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
BEAT: An Open-Science Web Platform, André Anjos, Laurent El Shafey and Sébastien Marcel, in: Thirty-fourth International Conference on Machine Learning, Sydney, Australia, 2017
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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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Deep Multi-Camera People Detection, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE International Conference on Machine Learning and Applications, 2017
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
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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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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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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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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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
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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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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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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INTRA-CLASS COVARIANCE ADAPTATION IN PLDA BACK-ENDS FOR SPEAKER VERIFICATION, Srikanth Madikeri, Marc Ferras, Petr Motlicek and Subhadeep Dey, in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, pages 5365-5369, 2017
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K-Medoids For K-Means Seeding, James Newling and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2017
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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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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Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 2017
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Machine translation of Spanish personal and possessive pronouns using anaphora probabilities, Ngoc-Quang Luong 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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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
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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Non-Markovian Globally Consistent Multi-Object Tracking, Andrii Maksai, Xinchao Wang, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
Non-parametric warping via local scale estimation for non-stationary Gaussian process modelling, Sébastien Marmin, Jean Baccou, Jacques Liandrat and David Ginsbourger, in: Wavelets and Sparsity XVII, pages 1039421, International Society for Optics and Photonics, 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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Robust and Accurate 3D Head Pose Estimation through 3DMM and Online Head Model Reconstruction, Yu Yu, Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: Proceedings of the 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017), 2017
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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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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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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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Subspace Regularized Dynamic Time Warping for Spoken Query Detection, Dhananjay Ram, Afsaneh Asaei and Hervé Bourlard, in: Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017
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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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The SUMMA Platform Prototype, Renars Liepins and et al., in: Proceedings of the EACL 2017 Software Demonstrations, Valencia, Spain, pages 116--119, 2017
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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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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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Towards the Use of Social Interaction Conventions as Prior for Gaze Model Adaptation, Remy Siegfried, Yu Yu and Jean-Marc Odobez, in: Proceedings of 19th ACM International Conference on Multimodal Interaction, pages 9, ACM, 2017
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Trajectory and Foothold Optimization using Low-Dimensional Models for Rough Terrain Locomotion, C. Mastalli, M. Focchi, I. Havoutis, A. Radulescu, Sylvain Calinon, J. Buchli, D. G. Caldwell and C. Semini, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Singapore, pages 1096-1103, IEEE, 2017
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Using Coreference Links to Improve Spanish-to-English Machine Translation, Lesly Miculicich and Andrei Popescu-Belis, in: Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017), Valencia, Spain, pages 30-40, Association for Computational Linguistics (ACL), 2017
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Validation of an Automatic Metric for the Accuracy of Pronoun Translation (APT), Lesly Miculicich and Andrei Popescu-Belis, in: Proceedings of the Third Workshop on Discourse in Machine Translation (DiscoMT), Denmark, Copenhagen, Association for Computational Linguistics (ACL), 2017
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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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Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction, Stepan Tulyakov, Anton Ivanov and Francois Fleuret, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
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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2016
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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An agonist-antagonist pitch production model, Branislav Gerazov and Philip N. Garner, in: Lecture Notes in Artificial Intelligence: 18th International Conference, SPECOM 2016, Budapest, Hungary, pages 84--91, 2016
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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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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
Comparing Two Strategies for Query Expansion in a News Monitoring System, Parvaz Mahdabi and Andrei Popescu-Belis, in: Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, pages 267-275, Springer-Verlag, 2016
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DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, Subhadeep Dey, Srikanth Madikeri, Marc Ferras and Petr Motlicek, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5050-5054, IEEE, 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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