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| WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems, , , and , in: IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, NEW ZEALAND, pages 109-114, 2018 |
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| Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions - Exploring the impact of treatment and strain dynamics, , , , , , and , in: Journal of Clinical Virology, 2022 |
| We are not Contortionists: Coupled Adaptive Learning for Head and Body Orientation Estimation in Surveillance Video, and , in: IEEE International Conference on Computer Vision and Pattern Recognition, 2012 |
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| Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction, , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2017 |
| Weakly Supervised Object Segmentation with Convolutional Neural Networks, and , Idiap-RR-13-2014 |
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| Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings, , and , in: Proc. 2019 Conference on Empirical Methods in Natural Language Processing, 2019 |
| Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior, and , in: Proceedings of the 17th ACM International Conference on Multimedia, ACM, 2009 |
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| Weight Initialization for High Order and Multilayer Perceptrons, and , in: Proceedings of the '94 SIPAR--Workshop on Parallel and Distributed Computing, SI Group for Parallel Systems, 1994 |
| Weighted Correlation based Atom Decomposition Intonation Modelling, , , and , in: Proceedings of Interspeech, Dresden, Germany, pages 1601--1605, 2015 |
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| Weighting schemes for audio-visual fusion in speech recognition, , , , and , Idiap-RR-44-2000 |
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| What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data, and , in: ACM International Conference on Multimedia (ACMMM), 2008 |
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| What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data, and , Idiap-RR-49-2008 |
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| What Do Compressed Multilingual Machine Translation Models Forget?, , , , , and , in: The 2022 Conference on Empirical Methods in Natural Language Processing, 2022 |
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| What do individuals with visual impairment need and want from a dialogue-based digital assistant?, , , , and , in: Clinical and Experimental Optometry, 2023 |
| What is Better: GMM of Two Gaussians or Two Clusters With One Gaussian?, , Idiap-RR-56-2002 |
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| What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP, , , and , in: EMNLP, 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021 |
| What Reminds Young People That They Drank More Than Intended on Weekend Nights: An Event-Level Study, , and , in: Journal of Studies on Alcohol and Drugs, 79(4):644-648, 2018 |
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| What to Show? Automatic Stream Selection Among Multiple Sensors, , and , in: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2014 |
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| What TripAdvisor Can't Tell: Crowdsourcing Urban Impressions for Whole Cities, , and , in: Digital Polis, L'Oeil d'Or (translated to French.), 2018 |
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| What you can't see can help you -- extended-range imaging for 3D-mask presentation attack detection, and , 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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| What Your Face Vlogs About: Expressions of Emotion and Big-Five Traits Impressions in YouTube, , , and , in: IEEE Transactions Affective Computing, 2014 |
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| When Differential Privacy Meets Graph Neural Networks, and , Idiap-RR-06-2023 |
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| When Naïve Bayes Nearest Neighbors Meet Convolutional Neural Networks, , and , in: Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2016 |
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| When Users Meet Technology: The Meeting Browser Development Helix, , and , Idiap-RR-05-2011 |
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| Where and What: Using Smartphones to Predict Next Locations and Applications in Daily Life, and , in: Pervasive and Mobile Computing, 2013 |
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| Who is Persuasive? The Role of Perceived Personality and Communication Modality in Social Multimedia, , , , and , in: International Conference on Multimodal Interaction, 2013 |
| Who Sees What? Examining Urban Impressions in Global South Cities, , , and , in: Human Perception of Visual Information: Psychological and Computational Perspectives, Springer, 2022 |
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| Who Wants To Be A Millionaire?, , , and , Idiap-Com-03-2012 |
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| Who Wants To Be A Millionaire? (II), , and , Idiap-Com-02-2013 |
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| Who Will Get the Grant ? A Multimodal Corpus for the Analysis of Conversational Behaviours in Group Interviews, , , , and , in: International Conference on Multimodal Interaction, Understanding and Modeling Multiparty, Multimodal Interactions Workshop, Istanbul, Turkey, ACM, 2014 |
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| Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation, , and , in: Advances in Neural Information Processing Systems 22 (NIPS09), NIPS Foundation, Vancouver, B.C., Canada, MIT Press, 2009 |
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| Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones, , and , in: International Symposium on Wearable Computing, pages 8, 2011 |
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| Whole Body Model Predictive Control with a Memory of Motion:Experiments on a Torque-Controlled Talos, , , , , , , , , , , and , in: IEEE International Conference on Robotics and Automation, 2021 |
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| Whole-Body Ergodic Exploration with a Manipulator Using Diffusion, , and , in: IEEE Robotics and Automation Letters, 8(12):8581-8587, 2023 |
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| Why daylight should be a priority for urban planning, , , , , , , , , , , , , and , in: Journal of Urban Management, 2024 |
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| Why Do Multi-Stream, Multi-Band and Multi-Modal Approaches Work on Biometric User Authentication Tasks?, and , in: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04), 2004 |
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| Why Do Multi-Stream, Multi-Band and Multi-Modal Approaches Work on Biometric User Authentication Tasks?, and , Idiap-RR-59-2003 |
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| Why Scholars Are Diagramming Neural Network Models, , and , in: 13th International Conference on the Theory and Application of Diagrams, 2022 |
| Wide-Band Audio Coding based on Frequency Domain Linear Prediction, , and , Idiap-RR-32-2009 |
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| Wide-Band Audio Coding based on Frequency Domain Linear Prediction, , , and , in: EURASIP Journal on Audio Speech and Music Processing, 2010(856280), 2010 |
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| Wide-Band Perceptual Audio Coding based on Frequency-Domain Linear Prediction, , and , in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2007 |
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| Wide-Band Perceptual Audio Coding based on Frequency-Domain Linear Prediction, , and , Idiap-RR-58-2006 |
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| Wiki-LDA: A Mixed-Method Approach for Effective Interest Mining on Twitter Data, , , and , in: Proceedings of CSEDU 2016, 2016 |
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| WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection, , , , , , , , and , 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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| Within- and Cross- Database Evaluations for Gender Classification via BeFIT Protocols, , and , in: International Workshop on Multimedia Signal Processing, pages 1-6, 2014 |
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| Word Embeddings through Hellinger PCA, and , Idiap-RR-29-2013 |
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| Word Embeddings through Hellinger PCA, and , in: 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014 |
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| Word Sense Consistency in Statistical and Neural Machine Translation, , École Polytechnique Fédérale de Lausanne, 2018 |
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| Word Sequence Modeling using Deep Learning: and End-to-end Approach and its Applications, , EPFL, 2016 |
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