no code implementations • 11 May 2023 • Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc
This paper tackles two major problem settings for interpretability of audio processing networks, post-hoc and by-design interpretation.
1 code implementation • 23 Feb 2022 • Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard
This paper tackles post-hoc interpretability for audio processing networks.
1 code implementation • 9 Feb 2021 • Alex Lambert, Sanjeel Parekh, Zoltán Szabó, Florence d'Alché-Buc
Style transfer is a significant problem of machine learning with numerous successful applications.
no code implementations • 9 Nov 2018 • Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Duong, Patrick Pérez, Gaël Richard
We tackle the problem of audiovisual scene analysis for weakly-labeled data.
no code implementations • 19 Apr 2018 • Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
Audio-visual representation learning is an important task from the perspective of designing machines with the ability to understand complex events.
no code implementations • 27 Feb 2016 • Rahul Radhakrishnan Iyer, Sanjeel Parekh, Vikas Mohandoss, Anush Ramsurat, Bhiksha Raj, Rita Singh
Existing video indexing and retrieval methods on popular web-based multimedia sharing websites are based on user-provided sparse tagging.