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Explainable Phonology-based Approach for Sign Language Recognition and Assessment, , Ecole Polytechnique Fédérale de Lausanne, 2021 |
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An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition, , and , in: Proceedings of the International Conference on Language Resources and Evaluation LREC 2020, 2020 |
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A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language, , , and , in: Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI '20 Companion), 2020 |
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Towards Dynamic Skeleton-based Handshape Subunits for Sign Language Assessment, and , in: Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025 |
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Towards Dynamic Skeleton-based Handshape Subunits for Sign Language Assessment, and , Idiap-RR-09-2024 |
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Subunits Inference and Lexicon Development Based on Pairwise Comparison of Utterances and Signs, and , in: Information, 10:298, 2019 |
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HMM-based Approaches to Model Multichannel Information in Sign Language inspired from Articulatory Features-based Speech Processing, , , , and , in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
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Towards Multilingual Sign Language Recognition, , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 |
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Data-Driven Movement Subunit Extraction from Skeleton Information for Modeling Signs and Gestures, , and , Idiap-RR-02-2019 |
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TOWARDS MULTILINGUAL SIGN LANGUAGE RECOGNITION, , and , Idiap-RR-16-2019 |
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Melanoma Recognition using Kernel Classifiers, , and , Idiap-RR-53-2006 |
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Kernel Methods for Melanoma Recognition, , and , in: Medical Informatics in Europe (MIE), 2006 |
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Dynamic structure and protein expression of the live embryonic heart captured by 2-photon light sheet microscopy and retrospective registration, , , , , and , in: Biomedical Optics Express, 6(6):2056-2066, 2015 |
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The emotional entanglements of smartphones in the field: On emotional discomfort, power relations, and research ethics, , , , , and , in: Area, 52(1), 2020 |
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Evaluation of Meeting Support Technology, and , in: Multimodal Signal Processing: Human Interactions in Meetings, pages 237-252, Cambridge University Press, 2012 |
Learning an event sequence embedding for event-based deep stereo, , , , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2019 |
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching, , and , in: Proceedings of the international conference on Neural Information Processing Systems, 2018 |
Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction, , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2017 |
Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter, , , , , , , and , in: Advances in Space Research, 2018 |
On Multi-scale Fourier Transform Analysis of Speech Signals, and , Idiap-RR-33-2003 |
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On Variable-scale Piecewise Stationary Spectral Analysis of Speech Signals for Asr, , and , in: Speech Communication, 48(9), 2006 |
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On Variable-Scale Piecewise Stationary Spectral Analysis of Speech Signals for ASR, , and , Idiap-RR-19-2005 |
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On Variable-Scale Piecewise Stationary Spectral Analysis of Speech Signals for ASR, , and , Idiap-RR-09-2005 |
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Mel-Cepstrum Modulation Spectrum (MCMS) Features for Robust ASR, , , and , in: IEEE ASRU, 2003 |
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On Factorizing Spectral Dynamics for Robust Speech Recognition, , , and , in: Eurospeech, 2003 |
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On Factorizing Spectral Dynamics for Robust Speech Recognition, , , and , Idiap-RR-32-2003 |
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Mel-Cepstrum Modulation Spectrum (MCMS) Features for Robust ASR, , , and , Idiap-RR-47-2003 |
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Paraspeckle components NONO and PSPC1 are not mislocalized from motor neuron nuclei in sporadic ALS, , , , , and , in: Brain, 2020 |
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Aberrant cytoplasmic intron retention is a blueprint for RNA binding protein mislocalization in VCP-related amyotrophic lateral sclerosis, , , , , , , , and , in: Brain, 2021 |
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Feature Selection Methods on Distributed Linear Inverse Solutions for a Non-Invasive Brain-Machine Interface, , and , Idiap-Com-04-2007 |
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You live, you learn, you forget: continuous learning of visual places with a forgetting mechanism, , and , in: International Conference on Robotic and Systems, 2009 |
The COLD Database, , , , and , Idiap-RR-49-2007 |
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Towards Robust Place Recognition for Robot Localization, , , , , and , Idiap-RR-40-2010 |
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Towards Robust Place Recognition for Robot Localization, , , , , and , in: IEEE International Conference on Robotics ad Automation, 2008 |
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Audio Coding Based on Long Temporal Segments: Experiments With Quantization of Excitation Signal, and , Idiap-RR-46-2006 |
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"Can you hear me now?" --- Automatic assessment of background noise intrusiveness and speech intelligibility in telecommunications, , Sciences et Techniques de l’Ingénieur (STI), 2016 |
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Predicting the intrusiveness of noise through sparse coding with auditory kernels, and , in: Speech Communication, 76:186-200, 2016 |
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Sparse Gammatone Signal Model Predicts Perceived Noise Intrusiveness, and , Idiap-RR-07-2014 |
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Noise Intrusiveness Factors in Speech Telecommunications, , , and , in: Proceedings of the AIA-DAGA 2013 International Conference on Acoustics, Merano, Italy, pages 436-439, 2013 |
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Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences, , and , in: 40th IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pages 4924-4928, 2015 |
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Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences, , and , Idiap-RR-16-2014 |
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Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification, , , and , Idiap-RR-06-2015 |
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Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification, , , and , in: Proceedings of Interspeech, Dresden, Germany, pages 3501-3505, 2015 |
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FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data, , , , , and , in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, pages 892-901, 2024 |
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FRCSyn-onGoing: Benchmarking and Comprehensive Evaluation of Real and Synthetic Data to Improve Face Recognition Systems, , , , and , in: Information Fusion, 107:102322, 2024 |
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Performing And Detecting Backdoor Attacks on Face Recognition Algorithms, , Ecole Polytechnique Fédérale de Lausanne, 2024 |
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An anomaly detection approach for backdoored neural networks: face recognition as a case study, and , Idiap-RR-08-2022 |
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An anomaly detection approach for backdoored neural networks: face recognition as a case study, and , in: 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022), Darmstadt, Germany, 2022 |
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Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks, , , and , in: NeurIPS Safe Generative AI Workshop 2024, 2024 |
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An Empirical Comparison of Semantic Similarity Methods for Analyzing down-streaming Automatic Minuting task, , , , and , in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36), In ACL Anthology Proceedings, 2022 |
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