Publication list - Idiap Publications

Role Recognition in Radio Programs using Social Affiliation Networks and Mixtures of Discrete Distributions: an Approach Inspired by Social Cognition, Alessandro Vinciarelli and Sarah Favre, Idiap-RR-40-2007

ROXANNE Research Platform: Automate criminal investigations, Mael Fabien, Shantipriya Parida, Dawei Zhu, Petr Motlicek, Aravind Krishnan and Hoang H. Nguyen, in: Interspeech Show and Tell 2021, 2021

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

ROXSD: The ROXANNE Multimodal and Simulated Dataset for Advancing Criminal Investigations, Petr Motlicek, Erinc Dikici, Srikanth Madikeri, Pradeep Rangappa, Miroslav Janosik, Gerhard Backfried, Dorothea Thomas-Aniola, Maximilian Schurz, Johan Rohdin, Petr Schwarz, Marek Kovac, Květoslav Malý, Dominik Boboš, Mathias Leibiger, Costas Kalogiros, Andreas Alexopoulos, Daniel Kudenko, Zahra Ahmadi, Hoang H. Nguyen, Aravind Krishnan, Dawei Zhu, Dietrich Klakow, Maria Jofre, Francesco Calderoni, Denis Marraud, Nikolaos Koutras, Nikos Nikolau, Christiana Apostiki, Panagiotis Douris, Konstantinos Gkountas, Eleni Sergidou, Wauter Bosma, Joshua Hughues and Hellenic Police Team, in: Odyssey 2024: The Speaker and Language Recognition Workshop, pages 17-24, 2024

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RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question, Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson and Marzieh Saeidi, in: Association for Computational Linguistics: ACL 2023, Toronto, Canada, 2023

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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

Safe Deep Neural Networks, Kyle Matoba, EPFL, 2024

Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer, Tatiana Tommasi, Francesco Orabona and Barbara Caputo, in: Proceedings of IEEE Computer Vision and Pattern Recognition Conference, San Francisco, CA, pages 3081-3088, IEEE, 2010

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Saliency-based Representations and Multi-component Classifiers for Visual Scene Recognition, Marco Fornoni, École Polytechnique Fédérale de Lausanne (EPFL), 2014

Sample Distillation for Object Detection and Image Classification, Olivier Canévet, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014

Sampling techniques for audio-visual tracking and head pose estimation, Jean-Marc Odobez and Oswald Lanz, in: Multimodal Signal Processing: Human Interactions in Meetings, pages 84-102, Cambridge University Press, 2012

SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage, Elizabeth Boschee, Joel Barry, Jayadev Billa, Marjorie Freedman, Thamme Gowda, Constantine Lignos, Chester Palen-Michel, Michael Pust, Banriskhem Khonglah, Srikanth Madikeri, Jonathan May and Scott Miller, in: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2019, pages 19-24, 2019

SATokE: How can Syntax-Aware Contextualized Word Representations Benefit Implicit Discourse Relation Classification?, D. N. Popa, J. Perez, James Henderson and E. Gaussier, in: Ptroc. 2019 Conference sur l'Apprentissage automatique, 2019

Saving energy by maximising daylight and minimising the impact on occupants: an automatic lighting system approach, Michael Papinutto, Roberto Boghetti, Moreno Colombo, Chantal Basurto, Kornelius Reutter, Denis Lalanne, Jérôme Kämpf and Julien Nembrini, in: Energy and Buildings, 2022

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Scalability Analysis of Audio-Visual Person Identity Verification, J. Czyz, Samy Bengio, Christine Marcel and L. Vandendorpe, in: 4th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Springer-Verlag, 2003

Scalability Analysis of Audio-Visual Person Identity Verification, J. Czyz, Samy Bengio, Christine Marcel and L. Vandendorpe, Idiap-RR-04-2003

Scalable greedy algorithms for transfer learning, Ilja Kuzborskij, Francesco Orabona and Barbara Caputo, in: Computer Vision and Image Understanding, 2016

Scalable Metric Learning via Weighted Approximate Rank Component Analysis, Cijo Jose and Francois Fleuret, in: ECCV 2016, 2016

Scalable Probabilistic Models for Face and Speaker Recognition, Laurent El Shafey, École Polytechnique Fédérale de Lausanne (EPFL), 2014

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Scalable Probabilistic Models: Applied to Face Identification in the Wild, Laurent El Shafey and Sébastien Marcel, in: 8th European Biometrics Research and Industry Awards, European Association for Biometrics, Darmstadt, Germany, 2014

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Scalable Wide-band Audio Codec based on Frequency Domain Linear Prediction, Petr Motlicek, Sriram Ganapathy, Hynek Hermansky and Harinath Garudadri, Idiap-RR-16-2007

SCALAR - Simultaneous Calibration of 2D Laser And Robot's Kinematic Parameters Using Three Planar Constraints, Teguh Santoso Lembono, Francisco Suarez-Ruiz and Quang-Cuong Pham, in: International Conference on Intelligent Robots, 2018

SCALAR: Simultaneous Calibration of 2-D Laser and Robot Kinematic Parameters Using Planarity and Distance Constraints, Teguh Santoso Lembono, Francisco Suarez-Ruiz and Quang-Cuong Pham, in: IEEE Transactions on Automation Science and Engineering, 16(4):1971-1979, 2019

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Scaling Large Learning Problems with Hard Parallel Mixtures, Ronan Collobert, Yoshua Bengio and Samy Bengio, in: International Journal on Pattern Recognition and Artificial Intelligence (IJPRAI), 17(3), 2003

Scaling Large Learning Problems with Hard Parallel Mixtures, Ronan Collobert, Yoshua Bengio and Samy Bengio, in: International Workshop on Pattern Recognition with Support Vector Machines, SVM'2002, 2002

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling, Pedro Quelhas, École Polytechnique Fédérale de Lausanne, 2007

Scene Recognition with Naive Bayes Non-linear Learning, Marco Fornoni and Barbara Caputo, in: Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, pages 3404 - 3409, IEEE, 2014

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Scholarly AI system diagrams as an access point to mental models, Guy Marshall, Caroline Jay and Andre Freitas, in: Diagrams, 2021

Score Calibration in Face Recognition, Miranti I. Mantasari, Manuel Günther, Roy Wallace, Rahim Saedi, Sébastien Marcel and David Van Leeuwen, Idiap-RR-01-2014

Score Calibration in Face Recognition, Miranti I. Mandasari, Manuel Günther, Roy Wallace, Rahim Saedi, Sébastien Marcel and David Van Leeuwen, in: IET Biometrics:1-11, 2014

[UNK]: The source code to replicate this paper can be found under http://pypi.python.org/pypi/xfacereclib.paper.IET2014

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Score Normalization for Demographic Fairness in Face Recognition, Yu Linghu, Tiago de Freitas Pereira, Christophe Ecabert, Sébastien Marcel and Manuel Günther, in: IEEE International Joint Conference on Biometrics (IJCB 2024), 2024

ScoreToolKit Documentation, André Anjos and Sébastien Marcel, Idiap-Com-02-2012

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

Searching the Past: An Improved Shape Descriptor to Retrieve Maya Hieroglyphs., Edgar Roman-Rangel, Carlos Pallan, Jean-Marc Odobez and Daniel Gatica-Perez, in: Proceedings of the ACM International Conference in Multimedia, Scottsdale, USA, ACM, 2011

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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Sector-Based Detection for Hands-Free Speech Enhancement in Cars, Guillaume Lathoud, Julien Bourgeois and Jürgen Freudenberger, in: EURASIP Journal on Applied Signal Processing, Special Issue on Advances in Multimicrophone Speech Processing, 2006

Sector-Based Detection for Hands-Free Speech Enhancement in Cars, Guillaume Lathoud, Julien Bourgeois and Jürgen Freudenberger, Idiap-RR-67-2004

Secured vocal access to telephone servers, Olivier Bornet, Gérard Chollet, Jean-Luc Cochard, Andrei Constantinescu and Dominique Genoud, Idiap-RR-04-1996

Secured vocal access to telephone servers, Olivier Bornet, Gérard Chollet, Jean-Luc Cochard, Andrei Constantinescu and Dominique Genoud, in: Proceedings of IVTTA 1996 IEEE Third Workshop Interactive Voice Technology for Telecommunications Applications, 1996

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

Segmentation of X-ray Image Sequences Showing the Vocal Tract, Georg Thimm, Idiap-RR-01-1999

Segmentation of X-ray Image Sequences Showing the Vocal Tract (with tool documentation), Georg Thimm, Idiap-RR-01-1999

Segmenting Multiple Concurrent Speakers Using Microphone Arrays, Guillaume Lathoud, Iain A. McCowan and Darren Moore, in: Proceedings of Eurospeech 2003, 2003

Segmenting Multiple Concurrent Speakers Using Microphone Arrays, Guillaume Lathoud, Iain A. McCowan and Darren Moore, Idiap-RR-21-2003

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

SelecMix: Debiased Learning by Contradicting-pair Sampling, Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim and Byoung-Tak Zhang, in: Advances in Neural Information Processing Systems, 2022

SelecMix: Debiased Learning by Mixing up Contradicting Pairs, Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim and Byoung-Tak Zhang, in: ICML Workshop on Spurious Correlations, Invariance and Stability, 2022

Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation, Lesly Miculicich, Marc Marone and Hany Hassan, in: WNGT EMNLP, 2019

Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup, Damien Teney, Jindong Wang and Ehsan Abbasnejad, in: International Conference on Machine Learning (ICML), 2024

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