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Computer Science
France
2023

D-Index & Metrics

Computer Science

D-Index
47
Citations
10551
World Ranking
6415
National Ranking
137

Research.com Recognitions

  • 2023 - Research.com Computer Science in France Leader Award

Overview

Patrick Bouthemy is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France and works primarily in the field of Computer Science. Their research focuses predominantly on areas related to Computer Vision and Pattern Recognition as well as Computer Graphics and Computer-Aided Design.

Their scholarly output includes a total of 12 publications in Computer Science, with a strong emphasis on advanced vision and imaging techniques. Key topics in their work include Advanced Vision and Imaging, Advanced Image Processing Techniques, Human Pose and Action Recognition, Image Enhancement Techniques, Video Surveillance and Tracking Methods, Visual Attention and Saliency Detection, and Computer Graphics and Visualization Techniques.

Bouthemy has published in several notable venues, including the IEEE Transactions on Pattern Analysis and Machine Intelligence and the IEEE Transactions on Circuits and Systems for Video Technology, as well as on arXiv. These venues reflect their focus on machine intelligence, video technology, and computational imaging.

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology

Among their recent papers are:

  • EM-Driven Unsupervised Learning for Efficient Motion Segmentation, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Trajectory Saliency Detection Using Consistency-Oriented Latent Codes From a Recurrent Auto-Encoder, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • EM-driven unsupervised learning for efficient motion segmentation, 2022, arXiv (Cornell University)
  • Segmenting the motion components of a video: A long-term unsupervised model, 2023, arXiv (Cornell University)
  • Segmenting the Motion Components of a Video: A Long-Term Unsupervised Model, 2025, IEEE Transactions on Pattern Analysis and Machine Intelligence

Bouthemy frequently collaborates with several co-authors, including Etienne Meunier with whom they have co-authored four papers, Anaïs Badoual with two joint publications, as well as Léo Maczyta and Olivier Le Meur, each with one joint work.

  • Etienne Meunier
  • Anaïs Badoual
  • Léo Maczyta
  • Olivier Le Meur

Best Publications

  • Robust multiresolution estimation of parametric motion models

    Jean-Marc Odobez;Patrick Bouthemy

  • Better Exploiting Motion for Better Action Recognition

    Mihir Jain;Herve Jegou;Patrick Bouthemy

  • Optical flow modeling and computation

    Denis Fortun;Patrick Bouthemy;Charles Kervrann

  • Computation and analysis of image motion: a synopsis of current problems and methods

    Amar Mitiche;Patrick Bouthemy

  • Multimodal estimation of discontinuous optical flow using Markov random fields

    F. Heitz;P. Bouthemy

  • Motion segmentation and qualitative dynamic scene analysis from an image sequence

    Patrick Bouthemy;Edouard François

  • Sonar image segmentation using an unsupervised hierarchical MRF model

    M. Mignotte;C. Collet;P. Perez;P. Bouthemy

  • A unified approach to shot change detection and camera motion characterization

    P. Bouthemy;M. Gelgon;F. Ganansia

  • Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences

    J. Boulanger;C. Kervrann;P. Bouthemy;P. Elbau

  • Action Localization with Tubelets from Motion

    Mihir Jain;Jan van Gemert;Hervé Jégou;Patrick Bouthemy

  • Multiscale minimization of global energy functions in some visual recovery problems

    F. Heitz;P. Perez;P. Bouthemy

  • Region-based tracking using affine motion models in long image sequences

    François G. Meyer;Patrick Bouthemy

  • Robust real-time visual tracking using a 2D-3D model-based approach

    E. Marchand;P. Bouthemy;F. Chaumette;V. Moreau

  • A maximum likelihood framework for determining moving edges

    P. Bouthemy

  • A 2D-3D Model-Based Approach to Real-Time Visual Tracking

    Éric Marchand;Patrick Bouthemy;François Chaumette

  • Real-time tracking of moving persons by exploiting spatio-temporal image slices

    Y. Ricquebourg;P. Bouthemy

  • Robust tracking with motion estimation and local Kernel-based color modeling

    R. Venkatesh Babu;Patrick Pérez;Patrick Bouthemy

  • Three-Class Markovian Segmentation of High-Resolution Sonar Images

    M. Mignotte;C. Collet;P. Pérez;P. Bouthemy

  • Space-Time Adaptation for Patch-Based Image Sequence Restoration

    J. Boulanger;C. Kervrann;P. Bouthemy

  • Motion recognition using nonparametric image motion models estimated from temporal and multiscale co-occurrence statistics

    R. Fablet;P. Bouthemy

Frequent Co-Authors

François Chaumette
François Chaumette University of Rennes
Hervé Jégou
Hervé Jégou Facebook (United States)
Eric Marchand
Eric Marchand University of Rennes
R. Venkatesh Babu
R. Venkatesh Babu Indian Institute of Science
Cees G. M. Snoek
Cees G. M. Snoek University of Amsterdam
Jean-Marc Odobez
Jean-Marc Odobez Idiap Research Institute
Etienne Mémin
Etienne Mémin French Institute for Research in Computer Science and Automation - INRIA
Nanda Rea
Nanda Rea Spanish National Research Council
Moncef Gabbouj
Moncef Gabbouj Tampere University

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