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Multimodal Person Recognition in Audio-Visual Streams, , EPFL, 2019 |
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Long-Term Time-Sensitive Costs for CRF-Based Tracking by Detection, , and , in: 2nd Workshop on Benchmarking Multi-target Tracking: MOTChallenge 2016, Amsterdam, 2016 |
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Temporally Subsampled Detection for Accurate and Efficient Face Tracking and Diarization, , , and , in: International Conference on Pattern Recognition, Cancun, Mexico, IEEE, 2016 |
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EUMSSI team at the MediaEval Person Discovery Challenge 2016, , and , in: MediaEval Benchmarking Initiative for Multimedia Evaluation, Hilversum, Netherlands, 2016 |
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Improving speech embedding using crossmodal transfer learning with audio-visual data, and , in: Multimedia Tools and Applications, 78(11):15681-15704, 2019 |
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Robust and Discriminative Speaker Embedding via Intra-Class Distance Variance Regularization, and , in: Proceedings of Interspeech, Hyderabad, INDIA, pages 2257-2261, 2018 |
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Improving speaker turn embedding by crossmodal transfer learning from face embedding, and , in: ICCV Workshop on Computer Vision for Audio-Visual Media, 2017 |
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A Domain Adaptation Approach to Improve Speaker Turn Embedding Using Face Representation, and , in: ACM International Conference on Multimodal Interaction, Glasgow, Scotland, ACM, 2017 |
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Learning Multimodal Temporal Representation for Dubbing Detection in Broadcast Media, and , in: ACM Multimedia, Amsterdam, ACM, 2016 |
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Towards large scale multimedia indexing: A case study on person discovery in broadcast news, , and , in: 15th International Workshop on Content-Based Multimedia Indexing, 2017 |
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EUMSSI team at the MediaEval Person Discovery Challenge, , , and , in: Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, 2015 |
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Client Dependent GMM-SVM Models for Speaker Verification, and , in: International Conference on Artificial Neural Networks, ICANN/ICONIP 2003, Springer Verlag, 2003 |
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Noise Robust Discriminative Models, and , Idiap-RR-40-2003 |
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Client Dependent GMM-SVM Models for Speaker Verification, and , Idiap-RR-03-2003 |
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Hybrid generative-discriminative models for speech and speaker recognition, and , Idiap-RR-06-2002 |
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Automatic vs. human question answering over multimedia meeting recordings, and , Idiap-RR-13-2009 |
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Automatic vs. human question answering over multimedia meeting recordings, and , in: 10th Annual Conference of the International Speech Communication Association, 2009 |
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Building Word Embeddings for Solving Natural Language Processing, , École Polytechnique Fédérale de Lausanne, 2016 |
[DOI] |
N-gram-Based Low-Dimensional Representation for Document Classification, and , in: International Conference on Learning Representations, 2015 |
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Rehabilitation of Count-based Models for Word Vector Representations, and , in: Computational Linguistics and Intelligent Text Processing, pages 417-429, Springer International Publishing, 2015 |
"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders, and , Idiap-RR-21-2015 |
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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 Embeddings through Hellinger PCA, and , Idiap-RR-29-2013 |
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Is Deep Learning Really Necessary for Word Embeddings?, , and , Idiap-RR-44-2013 |
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Twitter Sentiment Analysis (Almost) from Scratch, , and , Idiap-RR-15-2016 |
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Phrase-based Image Captioning, , and , Idiap-RR-08-2015 |
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Phrase-based Image Captioning, , and , in: International Conference on Machine Learning (ICML), Lille, France, pages 2085–2094, JMLR, 2015 |
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Simple Image Description Generator via a Linear Phrase-based Model, , and , Idiap-RR-22-2015 |
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Impact du degré de supervision sur l'adaptation à un domaine d'un modèle de langage à partir du Web, , , and , in: Actes de la conference conjointe JEP-TALN-RECITAL 2012, Grenoble, France, pages 193-200, ATALA/AFCP, 2012 |
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Supervised and unsupervised Web-based language model domain adaptation, , , and , Idiap-RR-22-2012 |
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Supervised and unsupervised Web-based language model domain adaptation, , , and , in: Proceedings of Interspeech, Portland, Oregon, USA, pages to appear, 2012 |
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Impact du degré de supervision sur l'adaptation à un domaine d'un modèle de langage à partir du Web, , , and , Idiap-RR-23-2012 |
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Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition, and , Idiap-RR-21-2012 |
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Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition, and , in: Proceedings of Interspeech, Portland, Oregon, USA, pages to appear, 2012 |
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Domain-specific language model adaptation: a case study, , and , Idiap-Com-01-2013 |
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The I4U Submission to the 2012 NIST Speaker Recognition Evaluation, , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , in: NIST Speaker Recognition Conference, 2012 |
Establishment of CORONET, COVID-19 Risk in Oncology Evaluation Tool, to Identify Cancer Patients at Low Versus High Risk of Severe Complications of COVID-19 Infection Upon Presentation to Hospital, , , and , in: Clinical Cancer Informatics, 2022 |
Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome, , , and , in: ESMO Open, 2021 |
Tractable Approaches to Learning and Planning in High Dimensions, , EPFL, 2014 |
[DOI] |
Jointly Informative Feature Selection, and , in: Journal of Machine Learning Research, 2016 |
Jointly Informative Feature Selection, and , in: International Conference on Artificial Intelligence and Statistics, pages 567–575, 2014 |
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Dynamic Programming Boosting for Discriminative Macro-Action Discovery, and , in: International Conference on Machine Learning, 2014 |
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Reservoir Boosting : Between Online and Offline Ensemble Learning, and , in: Proceedings of the international conference on Neural Information Processing Systems, 2013 |
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Macro-Action Discovery Based on Change Point Detection and Boosting, and , in: International Conference on Machine Learning and Applications, 2012 |
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Joint Cascade Optimization Using a Product Of Boosted Classifiers, and , in: Proceedings of the Neural Information Processing Systems Conference, pages 1315–1323, 2010 |
View-Based Appearance Model Online Learning for 3D Deformable Face Tracking, and , in: Proc. Int. Conf. on Computer Vision Theory and Applications, Angers, 2010 |
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Structure and appearance features for robust 3D facial actions tracking, and , in: IEEE Proc. Int. Conf. on Multimedia and Expo, IEEE, 2009 |
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treeKL: A distance between high dimension empirical distributions, and , in: Pattern Recognition Letters, 34(2):140-145, 2013 |
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A tree-based distance between distributions: application to classification of neurons, and , in: ICASSP 2012 : IEEE International Conference on Acoustics, Speech and Signal Processing, 2012 |
Machine learning techniques to analyse complex, computer vision-extracted, dynamic cellular phenotypes, , , , , and , in: 1st International SystemsX.ch Conference on Systems Biology, 2011 |
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