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2020 – today
- 2024
[j2]Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi
, Gaël Richard, Florence d'Alché-Buc:
Tackling Interpretability in Audio Classification Networks With Non-negative Matrix Factorization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1392-1405 (2024)- 2023
- [i7]Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc:
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization. CoRR abs/2305.07132 (2023) - 2022
- [c10]Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard:
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. NeurIPS 2022 - [i6]Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard:
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. CoRR abs/2202.11479 (2022) - 2021
- [i5]Alex Lambert, Sanjeel Parekh, Zoltán Szabó, Florence d'Alché-Buc:
Emotion Transfer Using Vector-Valued Infinite Task Learning. CoRR abs/2102.05075 (2021) - 2020
- [j1]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Audio-Visual Scene Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 28: 416-428 (2020)
2010 – 2019
- 2019
- [b1]Sanjeel Parekh:
Apprentissage de représentations pour l'analyse robuste de scènes audiovisuelles. (Learning representations for robust audio-visual scene analysis). University of Paris-Saclay, France, 2019 - [c9]Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Identify, Locate and Separate: Audio-Visual Object Extraction in Large Video Collections Using Weak Supervision. WASPAA 2019: 268-272 - 2018
- [c8]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CVPR Workshops 2018: 2518-2519 - [c7]Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh:
Deep Pairwise Classification and Ranking for Predicting Media Interestingness. ICMR 2018: 428-433 - [i4]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CoRR abs/1804.07345 (2018) - [i3]Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision. CoRR abs/1811.04000 (2018) - 2017
- [c6]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Motion informed audio source separation. ICASSP 2017: 6-10 - [c5]Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh:
The IITB Predicting Media Interestingness System for MediaEval 2017. MediaEval 2017 - [c4]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Guiding audio source separation by video object information. WASPAA 2017: 61-65 - 2016
- [c3]Sanjeel Parekh, Frederic Font, Xavier Serra:
Improving Audio Retrieval through Loudness Profile Categorization. ISM 2016: 565-568 - [c2]Jayneel Parekh, Sanjeel Parekh:
The MLPBOON Predicting Media Interestingness System for MediaEval 2016. MediaEval 2016 - [i2]Rahul Radhakrishnan Iyer, Sanjeel Parekh, Vikas Mohandoss, Anush Ramsurat, Bhiksha Raj, Rita Singh:
Content-based Video Indexing and Retrieval Using Corr-LDA. CoRR abs/1602.08581 (2016) - 2014
- [c1]Sanjeel Parekh, Pratik Shah:
Nyquist filter design using POCS methods: Including constraints in design. ISSPIT 2014: 370-375 - 2013
- [i1]Sanjeel Parekh, Pratik Shah:
Nyquist Filter Design using POCS Methods: Including Constraints in Design. CoRR abs/1305.3446 (2013)
Coauthor Index
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