Sanjeel Parekh

According to our database, Sanjeel Parekh authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tackling Interpretability in Audio Classification Networks With Non-negative Matrix Factorization.

Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2022

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF.

Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Emotion Transfer Using Vector-Valued Infinite Task Learning.

Alex Lambert, Sanjeel Parekh, Zoltán Szabó, Florence d'Alché-Buc

CoRR, 2021

2020

Weakly Supervised Representation Learning for Audio-Visual Scene Analysis.

Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard

IEEE ACM Trans. Audio Speech Lang. Process., 2020

2019

Apprentissage de représentations pour l'analyse robuste de scènes audiovisuelles. (Learning representations for robust audio-visual scene analysis).

Sanjeel Parekh

PhD thesis, 2019

Identify, Locate and Separate: Audio-Visual Object Extraction in Large Video Collections Using Weak Supervision.

Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

2018

Deep Pairwise Classification and Ranking for Predicting Media Interestingness.

Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events.

Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Guiding audio source separation by video object information.

Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

The IITB Predicting Media Interestingness System for MediaEval 2017.

Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Motion informed audio source separation.

Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Content-based Video Indexing and Retrieval Using Corr-LDA.

Rahul Radhakrishnan Iyer, Sanjeel Parekh, Vikas Mohandoss, Anush Ramsurat, Bhiksha Raj, Rita Singh

CoRR, 2016

The MLPBOON Predicting Media Interestingness System for MediaEval 2016.

Jayneel Parekh, Sanjeel Parekh

Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

Improving Audio Retrieval through Loudness Profile Categorization.

Sanjeel Parekh, Frederic Font, Xavier Serra

Proceedings of the IEEE International Symposium on Multimedia, 2016

2014

Nyquist filter design using POCS methods: Including constraints in design.

Sanjeel Parekh, Pratik Shah

Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014