| Motion informed audio source separation S Parekh, S Essid, A Ozerov, NQK Duong, P Pérez, G Richard 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 40 | 2017 |
| Weakly supervised representation learning for audio-visual scene analysis S Parekh, S Essid, A Ozerov, NQK Duong, P Pérez, G Richard IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 416-428, 2019 | 27 | 2019 |
| Content-based video indexing and retrieval using corr-lda RR Iyer, S Parekh, V Mohandoss, A Ramsurat, B Raj, R Singh arXiv preprint arXiv:1602.08581, 2016 | 24 | 2016 |
| Weakly supervised representation learning for unsynchronized audio-visual events S Parekh, S Essid, A Ozerov, NQK Duong, P Pérez, G Richard Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 22 | 2018 |
| Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision S Parekh, A Ozerov, S Essid, NQK Duong, P Pérez, G Richard 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 19 | 2019 |
| Guiding audio source separation by video object information S Parekh, S Essid, A Ozerov, NQK Duong, P Pérez, G Richard 2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017 | 15 | 2017 |
| Deep pairwise classification and ranking for predicting media interestingness J Parekh, H Tibrewal, S Parekh Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018 | 5 | 2018 |
| Multiview approaches to event detection and scene analysis S Essid, S Parekh, NQK Duong, R Serizel, A Ozerov, F Antonacci, A Sarti Computational Analysis of Sound Scenes and Events, 243-276, 2018 | 5 | 2018 |
| Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF J Parekh, S Parekh, P Mozharovskyi, F d'Alché-Buc, G Richard Advances in Neural Information Processing Systems 35, 35270-35283, 2022 | 4 | 2022 |
| The IITB Predicting Media Interestingness System for MediaEval 2017. J Parekh, H Tibrewal, S Parekh MediaEval, 2017 | 4 | 2017 |
| The MLPBOON Predicting Media Interestingness System for MediaEval 2016. J Parekh, S Parekh MediaEval, 2016 | 3 | 2016 |
| Nyquist filter design using pocs methods: Including constraints in design S Parekh, P Shah 2014 IEEE International Symposium on Signal Processing and Information …, 2014 | 3 | 2014 |
| Emotion Transfer Using Vector-Valued Infinite Task Learning A Lambert, S Parekh, Z Szabó, F d'Alché-Buc arXiv preprint arXiv:2102.05075, 2021 | 2 | 2021 |
| Improving audio retrieval through loudness profile categorization S Parekh, F Font, X Serra 2016 IEEE international symposium on multimedia (ISM), 565-568, 2016 | 2 | 2016 |
| Learning representations for robust audio-visual scene analysis S Parekh Université Paris-Saclay (ComUE), 2019 | 1 | 2019 |
| Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization J Parekh, S Parekh, P Mozharovskyi, G Richard, F d'Alché-Buc arXiv preprint arXiv:2305.07132, 2023 | | 2023 |
| Continuous emotion transfer using kernels A Lambert, S Parekh, Z Szabo, F d'Alché-Buc | | 2021 |
| Apprentissage de représentations pour l'analyse robuste de scènes audiovisuelles S Parekh Université Paris Saclay (COmUE), 2019 | | 2019 |
| Method for processing an input signal and corresponding electronic device, non-transitory computer readable program product and computer readable storage medium S Parekh, A Ozerov, QKN Duong, G Richard, S Essid, P Perez US Patent App. 15/956,021, 2018 | | 2018 |
| Procédé de traitement d'un signal audio et dispositif électronique correspondant, produit-programme lisible par ordinateur non transitoire et support d'informations lisible par … S Parekh, A Ozerov, G Richard, S Essid, P Pérez | | 2018 |
Gaël RichardProfessor, Télécom Paris, Institut polytechnique de ParisVerified email at telecom-paris.fr
