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D-Index & Metrics

Computer Science

D-Index
42
Citations
12019
World Ranking
8186
National Ranking
185

Overview

Cédric Févotte is affiliated with the Toulouse Institute of Computer Science Research in France. Their research primarily focuses on computer science, with a significant emphasis on signal processing and related subfields.

The main fields of study associated with their work include:

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Computational Mechanics
  • Artificial Intelligence
  • Information Systems

The topics most frequently explored in their research are:

  • Sparse and Compressive Sensing Techniques
  • Music and Audio Processing
  • Face and Expression Recognition
  • Blind Source Separation Techniques
  • Speech and Audio Processing
  • Recommender Systems and Techniques
  • Optical measurement and interference techniques

Recent publications by Cédric Févotte include:

  • Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery, 2021, IEEE Journal of Selected Topics in Signal Processing
  • Neural content-aware collaborative filtering for cold-start music recommendation, 2022, Data Mining and Knowledge Discovery
  • Multi-resolution beta-divergence NMF for blind spectral unmixing, 2021, Signal Processing
  • Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization, 2022, arXiv (Cornell University)
  • Negative Binomial Matrix Factorization, 2020, IEEE Signal Processing Letters

Their frequent coauthors in research collaborations include:

  • Paul Magron
  • Thomas Oberlin
  • Emmanuel Soubies
  • José Henrique de Morais Goulart
  • Pierre-Hugo Vial

Publications by Cédric Févotte are commonly found in these venues:

  • arXiv (Cornell University)
  • IEEE Signal Processing Letters
  • IEEE Transactions on Signal Processing
  • Signal Processing
  • HAL (Le Centre pour la Communication Scientifique Directe)

Best Publications

  • Performance measurement in blind audio source separation

    E. Vincent;R. Gribonval;C. Fevotte

  • Nonnegative matrix factorization with the itakura-saito divergence: With application to music analysis

    Cédric Févotte;Nancy Bertin;Jean-Louis Durrieu

  • Algorithms for nonnegative matrix factorization with the β-divergence

    Cédric Févotte;Jérôme Idier

  • Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation

    A. Ozerov;C. Fevotte

  • Algorithms for nonnegative matrix factorization with the beta-divergence

    Cédric Févotte;Jérôme Idier

  • Automatic Relevance Determination in Nonnegative Matrix Factorization with the $(eta)$-Divergence

    V. Y. F. Tan;C. Fevotte

  • BSS_EVAL Toolbox User Guide -- Revision 2.0

    Cédric Févotte;Rémi Gribonval;Emmanuel Vincent

  • Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals

    J.-L. Durrieu;G. Richard;B. David;C. Fevotte

  • Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization

    Cedric Fevotte;Nicolas Dobigeon

  • A Bayesian Approach for Blind Separation of Sparse Sources

    C. Fevotte;S.J. Godsill

  • Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view

    Paris Smaragdis;Cedric Fevotte;Gautham J. Mysore;Nasser Mohammadiha

  • Alternating direction method of multipliers for non-negative matrix factorization with the beta-divergence

    Dennis L. Sun;Cédric Févotte

  • PROPOSALS FOR PERFORMANCE MEASUREMENT IN SOURCE SEPARATION

    Rémi Gribonval;Emmanuel Vincent;Cédric Févotte;Laurent Benaroya

  • Nonnegative matrix factorizations as probabilistic inference in composite models

    Cedric Fevotte;A. Taylan Cemgil

  • Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation

    Alexey Ozerov;Cedric Fevotte;Raphael Blouet;Jean-Louis Durrieu

  • Two contributions to blind source separation using time-frequency distributions

    C. Fevotte;C. Doncarli

  • Factorial Scaled Hidden Markov Model for polyphonic audio representation and source separation

    Alexey Ozerov;Cedric Fevotte;Maurice Charbit

  • Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals

    D. Farina;C. Fevotte;C. Doncarli;R. Merletti

  • Itakura-Saito nonnegative matrix factorization with group sparsity

    Augustin Lefevre;Francis Bach;Cedric Fevotte

  • Online algorithms for nonnegative matrix factorization with the Itakura-Saito divergence

    Augustin Lefevre;Francis Bach;Cedric Fevotte

  • Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation Factorisation en matrices à coefficients positifs de données multicanal convolutives pour la séparation de sources audio

    Alexey Ozerov;Cédric Févotte

Frequent Co-Authors

Simon J. Godsill
Simon J. Godsill University of Cambridge
Vincent Y. F. Tan
Vincent Y. F. Tan National University of Singapore
Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Olivier Cappé
Olivier Cappé PSL University
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Francis Bach
Francis Bach École Normale Supérieure
Paris Smaragdis
Paris Smaragdis University of Illinois at Urbana-Champaign
Frédéric Bimbot
Frédéric Bimbot French Institute for Research in Computer Science and Automation - INRIA
Fabian J. Theis
Fabian J. Theis Technical University of Munich

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