Nyquist filter design using POCS methods: Including constraints in design. - Sanjeel Parekh; Pratik Shah (ISSPIT, 2014)

Improving Audio Retrieval through Loudness Profile Categorization. - Sanjeel Parekh; Frederic Font; Xavier Serra (ISM, 2016)

The MLPBOON Predicting Media Interestingness System for MediaEval 2016. - Jayneel Parekh; Sanjeel Parekh (MediaEval, 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)

Motion informed audio source separation. - Sanjeel Parekh; Slim Essid; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard (ICASSP, 2017)

The IITB Predicting Media Interestingness System for MediaEval 2017. - Jayneel Parekh; Harshvardhan Tibrewal; Sanjeel Parekh (MediaEval, 2017)

Guiding audio source separation by video object information. - Sanjeel Parekh; Slim Essid; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard (WASPAA, 2017)

Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. - Sanjeel Parekh; Slim Essid; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard (CVPR Workshops, 2018)

Deep Pairwise Classification and Ranking for Predicting Media Interestingness. - Jayneel Parekh; Harshvardhan Tibrewal; Sanjeel Parekh (ICMR, 2018)

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 (WASPAA, 2019)

Apprentissage de représentations pour l'analyse robuste de scènes audiovisuelles. (Learning representations for robust audio-visual scene analysis). - Sanjeel Parekh (2019)

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)

Emotion Transfer Using Vector-Valued Infinite Task Learning. - Alex Lambert; Sanjeel Parekh; Zoltán Szabó; Florence d'Alché-Buc (CoRR, 2021)

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. - Jayneel Parekh; Sanjeel Parekh; Pavlo Mozharovskyi; Florence d'Alché-Buc; Gaël Richard (NeurIPS, 2022)

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)

Learning to Highlight Audio by Watching Movies. - Chao Huang; Ruohan Gao; J. M. F. Tsang; Jan Kurcius; Cagdas Bilen; Chenliang Xu; Anurag Kumar; Sanjeel Parekh (CVPR, 2025)

Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment. - Joanna Hong; Sanjeel Parekh; Honglie Chen; Jacob Donley; Ke Tan 001; Buye Xu; Anurag Kumar 003 (CoRR, 2025)