Publications

For a complete list please refer to my Google Scholar profile

Multimodal Learning

• [NEW] Learning to highlight audio by watching movies
  C. Huang, R. Gao, J. Tsang, J. Kurcius, C. Bilen, C. Xu, A. Kumar, S. Parekh
  CVPR 2025 (accepted)

• [NEW] Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment
  J. Hong, S. Parekh, H. Chen, J. Donley, K. Tan, B. Xu, A. Kumar
  ArXiv 2025

• Weakly supervised representation learning for audio-visual scene analysis
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  IEEE/ACM Transactions on Audio, Speech and Language Processing, 2019

• Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision
  S. Parekh, A. Ozerov, S. Essid, N. Duong, P. Pérez, G. Richard
  WASPAA 2019

• Multiview approaches to event detection and scene analysis
  S. Essid, S. Parekh, N. Duong, R. Serizel, A. Ozerov, F. Antonacci, A. Sarti
  Book chapter in Computational Analysis of Sound Scenes and Events, Springer, 2018

• Weakly supervised representation learning for unsynchronized audio-visual events
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  CVPR Workshop on Sight and Sound 2018
  video

• Guiding audio source separation by video object information
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  WASPAA 2017
  video

• Motion informed audio source separation
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  ICASSP 2017

ML for Audio/Image

• Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization
  J. Parekh, S. Parekh, P. Mozharovskyi, G. Richard, F. d’Alché-Buc
  IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023

• Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
  J. Parekh, S. Parekh, P. Mozharovskyi, F. d’Alché-Buc, G. Richard
  NeurIPS 2022

• Emotion Transfer Using Vector-Valued Infinite Task Learning
  A. Lambert^*, S. Parekh^*, Z. Szabó, F. d’Alché-Buc
  CtrlGen Workshop, NeurIPS 2021
  code

• Deep pairwise classification and ranking for predicting media interestingness
  J. Parekh, H. Tibrewal, S. Parekh
  ACM ICMR 2018
  code

Signal Processing

• Improving audio retrieval through loudness profile categorization
  S. Parekh, F. Font, X. Serra
  IEEE ISM 2016

• Nyquist filter design using POCS methods: Including constraints in design
  S. Parekh, P. Shah
  IEEE ISSPIT 2014