All publications sorted by author
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 |
R
| Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions, , , and , in: 8th International Conference on Extending Database Technology, 2025 |
| TableDC: Deep Clustering for Tabular Data, , and , in: ACM SIGMOD International Conference on Management of Data, 2025 |
| Deep Clustering for Data Cleaning and Integration, , and , in: 27th International Conference on Extending Database Technology, 2024 |
| Mode of Teaching Based Segmentation and Annotation of Video Lectures, , and , in: International Workshop on Content-Based Multimedia Indexing, 2014 |
|
| On Modeling the Synergy Between Acoustic and Lexical Information for Pronunciation Lexicon Development, , École polytechnique fédérale de Lausanne (EPFL), 2017 |
[DOI] |
| A Posterior-Based Multi-Stream Formulation for G2P Conversion, and , in: IEEE Signal Processing Letters, 2017 |
|
| Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery, and , in: Proceedings of Interspeech, 2016 |
|
| An HMM-Based Formalism for Automatic Subword Unit Derivation and Pronunciation Generation, and , in: International Conference on Acoustics, Speech and Signal Processing, pages 4639-4643, IEEE, 2015 |
[DOI] |
| Posterior-Based Multi-Stream Formulation To Combine Multiple Grapheme-to-Phoneme Conversion Techniques, and , Idiap-RR-33-2015 |
|
| On Recognition of Non-Native Speech Using Probabilistic Lexical Model, and , in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), 2014 |
|
| Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , in: Speech Communication, 96:168-183, 2018 |
[DOI] |
| Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , Idiap-RR-15-2017 |
|
| Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework, , and , in: Speech Communication, 80, 2016 |
[DOI] |
| On the Application of Automatic Subword Unit Derivation and Pronunciation Generation for Under-Resourced Language ASR: A Study on Scottish Gaelic, , and , Idiap-RR-13-2015 |
|
| Acoustic Data-Driven Grapheme-to-Phoneme Conversion in the Probabilistic Lexical Modeling Framework, , and , Idiap-RR-10-2015 |
|
| Towards Multiple Pronunciation Generation in Acoustic G2P Conversion Framework, , and , Idiap-RR-34-2015 |
|
| Pronunciation Lexicon Development for Under-Resourced Languages Using Automatically Derived Subword Units: A Case Study on Scottish Gaelic, , and , in: 4th Biennial Workshop on Less-Resourced Languages, 2015 |
|
| On Modeling Context-Dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , in: International Conference on Acoustics, Speech, and Signal Processing, Florence, IT, pages 7659 - 7663, IEEE, 2014 |
[DOI] |
| On Modeling Context-dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , Idiap-RR-43-2013 |
|
| Group Membership Verification via Nonlinear Sparsifying Transform Learning, , , , , , and , in: IEEE Access, 12:86739-86751, 2024 |
[DOI] [URL] |
| Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition, , and , in: 49th IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2024 |
[DOI] [URL] |
| Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition, , and , Idiap-RR-02-2024 |
|
| Learning Joint Space Reference Manifold for Reliable Physical Assistance, , , , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), pages 10412-10417, 2023 |
[DOI] |
| CCDP: Composition of Conditional Diffusion Policies with Guided Sampling, , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), 2025 |
|
| CCDP: Model-free Failure Recovery via Guided Diffusion Sampling, , , and , in: Workshop on The Art of Robustness: Surviving Failures in Robotics, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025 |
|
| Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills, , and , in: Proc. IEEE Intl Conf. on Advanced Robotics (ICAR), 2021 |
|
| Sampling-Based Constrained Motion Planning with Products of Experts, , , and , in: International Journal of Robotics Research, 2025 |
| Theories and Models of Teams and Group, , , , and , in: Small Group Research, 48(5):544--567, 2017 |
[DOI] |
| Multimodal Signal Processing: Human Interactions in Meetings, , , and , Cambridge University Press, 2012 |
[URL] |
| ROCKIT: Roadmap for Conversational Interaction Technologies, , , , , , , , , , , , , , and , in: Proceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges (RFMIR '14), pages 39-42, ACM, 2014 |
[DOI] |
| Recognition and Understanding of Meetings The AMI and AMIDA Projects, , and , in: Proc. of the IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU'07, 2007 |
|
| Recognition and Understanding of Meetings The AMI and AMIDA Projects, , and , Idiap-RR-46-2007 |
|
| Development of a lung segmentation algorithm for analog imaged chest X-Ray: preliminary results, , , , and , in: XV Brazilian Congress on Computational Intelligence, Joinville, Brazil, 2021 |
[URL] |
| Statistical Models in Automatic Speech Recognition, , University of Fribourg, Department of Mathematics, 2015 |
|
| Baseline System for Automatic Speech Recognition with French GlobalPhone Database, and , Idiap-RR-26-2012 |
|
| Managing IDIAP Inventory (Computers, Components, Software and Licences), and , Idiap-Com-04-2006 |
|
| ORGIDIAP : le couteau suisse pour la gestion d'une entreprise, and , Idiap-Com-05-2006 |
|
| Trust indicators and explainable AI: A study on user perceptions, , , , , , and , in: Proc. Int. Conf. on Human-Computer Interaction, Bari, Italy, 2021 |
|
| Learning Large Margin Likelihood for Realtime Head Pose Tracking, and , in: IEEE Int. Conference on Image Processing, Cairo, Egypt, IEEE, 2009 |
|
| Multi Modal Verification for Teleservices and Security Applications, , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , in: IEEE International Conference on Multimedia Computing and Systems, 1999 |
| Detection and Application of Influence Rankings in Small Group Meetings, , , and , in: In the Eighth International Conference on Multimodal Interfaces (ICMI'06), 2006 |
|
| Detection and Application of Influence Rankings in Small Group Meetings, , , and , Idiap-RR-49-2006 |
|
| Response Burden and Dropout in a Probability-Based Online Panel Study – A Comparison between an App and Browser-Based Design, , , , and , in: Journal of Official Statistics, 2022 |
[DOI] [URL] |
| Data Privacy Concerns as a Source of Resistance to Complete Mobile Data Collection Tasks via a Smartphone App, , , , and , in: Journal of Survey Statistics and Methodology, 2022 |
|
| Validation of two distinct simulation models of district heating networks: application to efficient looping analysis, , , , , , and , in: Journal of Physics: Conference Series, pages 042021, IOP Publishing, 2025 |
[DOI] [URL] |
| Face Detection and Verification using Local Binary Patterns, , École Polytechnique Fédérale de Lausanne, 2006 |
|
| Face Detection and Verification using Local Binary Patterns, , Idiap-RR-79-2006 |
|
| Measuring the Performance of Face Localization Systems, , , and , in: Image and Vision Computing Journal, 24(8), 2006 |
|
| Measuring the Performance of Face Localization Systems, , , and , Idiap-RR-53-2005 |
|
| Estimating the Quality of Face Localization for Face Verification, , , and , in: IEEE International Conference on Image Processing, ICIP, 2004 |
|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 |