Sanjeel Parekh

28 papers A* 2B 1C 1Misc 1Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conditional Flow Matching for Visually-Guided Acoustic Highlighting.
CoRR
Hugo Malard, Gael Le Lan, Daniel Wong, David Lou Alon, Yi-Chiao Wu, Sanjeel Parekh
2026 J jnl
Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment.
Trans. Mach. Learn. Res.
Joanna Hong, Sanjeel Parekh, Honglie Chen, Jacob Donley, Ke Tan, Buye Xu, Anurag Kumar
2026 J jnl
Sound Event Detection with Boundary-Aware Optimization and Inference.
CoRR
Florian Schmid, Chi Ian Tang, Sanjeel Parekh, Vamsi Krishna Ithapu, Juan Azcarreta Ortiz, Giacomo Ferroni, Yijun Qian, Arnoldas Jasonas, Cosmin Frateanu, Camilla Clark, Gerhard Widmer, Çagdas Bilen
2026 J jnl
Text-to-Stage: Spatial Layouts from Long-form Narratives.
CoRR
Jefferson Hernandez, Swarnadeep Saha, Chenxi Whitehouse, Sanjeel Parekh, Calvin Murdock, Yuliang Li, W. Owen Brimijoin, Vamsi Krishna Ithapu, Ishwarya Ananthabhotla
2025 J jnl
Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment.
CoRR
Joanna Hong, Sanjeel Parekh, Honglie Chen, Jacob Donley, Ke Tan, Buye Xu, Anurag Kumar
2025 A* conf
Learning to Highlight Audio by Watching Movies.
CVPR
Chao Huang, Ruohan Gao, J. M. F. Tsang, Jan Kurcius, Cagdas Bilen, Chenliang Xu, Anurag Kumar, Sanjeel Parekh
2025 J jnl
Learning to Highlight Audio by Watching Movies.
CoRR
Chao Huang, Ruohan Gao, J. M. F. Tsang, Jan Kurcius, Cagdas Bilen, Chenliang Xu, Anurag Kumar, Sanjeel Parekh
2025 J jnl
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks.
CoRR
Swapnil Bhosale, Cosmin Frateanu, Camilla Clark, Arnoldas Jasonas, Chris Mitchell, Xiatian Zhu, Vamsi Krishna Ithapu, Giacomo Ferroni, Cagdas Bilen, Sanjeel Parekh
2024 J jnl
Tackling Interpretability in Audio Classification Networks With Non-negative Matrix Factorization.
IEEE ACM Trans. Audio Speech Lang. Process.
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc
2023 J jnl
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization.
CoRR
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc
2022 A* conf
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF.
NeurIPS
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard
2022 J jnl
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF.
CoRR
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard
2021 J jnl
Emotion Transfer Using Vector-Valued Infinite Task Learning.
CoRR
Alex Lambert, Sanjeel Parekh, Zoltán Szabó, Florence d'Alché-Buc
2020 J jnl
Weakly Supervised Representation Learning for Audio-Visual Scene Analysis.
IEEE ACM Trans. Audio Speech Lang. Process.
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
2019 — —
Apprentissage de représentations pour l'analyse robuste de scènes audiovisuelles. (Learning representations for robust audio-visual scene analysis).
Sanjeel Parekh
2019 — conf
Identify, Locate and Separate: Audio-Visual Object Extraction in Large Video Collections Using Weak Supervision.
WASPAA
Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
2018 B conf
Deep Pairwise Classification and Ranking for Predicting Media Interestingness.
ICMR
Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh
2018 J jnl
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision.
CoRR
Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
2018 — conf
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events.
CVPR Workshops
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
2018 J jnl
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events.
CoRR
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
2017 — conf
Guiding audio source separation by video object information.
WASPAA
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
2017 Misc conf
Motion informed audio source separation.
ICASSP
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
2017 — conf
The IITB Predicting Media Interestingness System for MediaEval 2017.
MediaEval
Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh
2016 J jnl
Content-based Video Indexing and Retrieval Using Corr-LDA.
CoRR
Rahul Radhakrishnan Iyer, Sanjeel Parekh, Vikas Mohandoss, Anush Ramsurat, Bhiksha Raj, Rita Singh
2016 C conf
Improving Audio Retrieval through Loudness Profile Categorization.
ISM
Sanjeel Parekh, Frederic Font, Xavier Serra
2016 — conf
The MLPBOON Predicting Media Interestingness System for MediaEval 2016.
MediaEval
Jayneel Parekh, Sanjeel Parekh
2014 — conf
Nyquist filter design using POCS methods: Including constraints in design.
ISSPIT
Sanjeel Parekh, Pratik Shah
2013 J jnl
Nyquist Filter Design using POCS Methods: Including Constraints in Design
CoRR
Sanjeel Parekh, Pratik Shah