World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9466
World Ranking
6800
National Ranking
146

Overview

Thierry Bouwmans is affiliated with the University of La Rochelle in France. Their research primarily spans the field of Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology, and Neurology.

Their publishing record includes contributions to various scientific venues, most notably:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Signal and Information Processing over Networks
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IET Image Processing

Some recent papers by Thierry Bouwmans include:

  • "Graph Moving Object Segmentation," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness," 2022, IEEE Transactions on Signal and Information Processing over Networks
  • "Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance," 2020, IET Image Processing
  • "SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images," 2022, IEEE Geoscience and Remote Sensing Letters
  • "Moving objects detection with a moving camera: A comprehensive review," 2020, Computer Science Review

Their frequent co-authors include:

  • Jhony H. Giraldo
  • Arif Mahmood
  • Anastasia Zakharova
  • Sajid Javed
  • M. Sultana

Thierry Bouwmans's research covers main topics such as:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging

Their work intersects areas of advanced machine learning applied to video and image analysis, graph signal processing, and both supervised and semi-supervised segmentation methods. The research outputs are consistent with interdisciplinary applications including security, surveillance, and remote sensing technologies.

Best Publications

  • Traditional and recent approaches in background modeling for foreground detection: An overview

    Thierry Bouwmans

  • Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey

    Thierry Bouwmans;Fida El Baf;Bertrand Vachon

  • Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance

    Thierry Bouwmans;El Hadi Zahzah

  • Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset

    Thierry Bouwmans;Andrews Sobral;Sajid Javed;Soon Ki Jung

  • Recent Advanced Statistical Background Modeling for Foreground Detection - A Systematic Survey

    Thierry Bouwmans

  • Deep neural network concepts for background subtraction:A systematic review and comparative evaluation

    Thierry Bouwmans;Sajid Javed;Maryam Sultana;Soon Ki Jung

  • Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

    Namrata Vaswani;Thierry Bouwmans;Sajid Javed;Praneeth Narayanamurthy

  • Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

    Belmar Garcia-Garcia;Thierry Bouwmans;Alberto Jorge Rosales Silva

  • On the Applications of Robust PCA in Image and Video Processing

    Thierry Bouwmans;Sajid Javed;Hongyang Zhang;Zhouchen Lin

  • New Trends on Moving Object Detection in Video Images Captured by a moving Camera: A Survey

    Mehran Yazdi;Mehran Yazdi;Thierry Bouwmans

  • Statistical Background Modeling for Foreground Detection: A Survey

    Thierry Bouwmans;Fida El Baf;Bertrand Vachon

  • Human pose estimation from monocular images: A comprehensive survey

    Wenjuan Gong;Xuena Zhang;Jordi Gonzàlez;Andrews Sobral

  • Background Modeling and Foreground Detection for Video Surveillance

    Thierry Bouwmans;Fatih Porikli;Benjamin Hferlin;Antoine Vacavant

  • Fuzzy integral for moving object detection

    F. El Baf;T. Bouwmans;B. Vachon

  • Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling

    Fida Baf;Thierry Bouwmans;Bertrand Vachon

  • An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos

    Caroline Silva;Thierry Bouwmans;Carl Frélicot

  • Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering

    Sajid Javed;Arif Mahmood;Thierry Bouwmans;Soon Ki Jung

  • On the role and the importance of features for background modeling and foreground detection

    Thierry Bouwmans;Caroline Silva;Cristina Marghes;Mohammed Sami Zitouni

  • Subspace Learning for Background Modeling: A Survey

    Thierry Bouwmans

  • Decomposition into low-rank plus additive matrices for background/foreground separation

    Thierry Bouwmans;Andrews Sobral;Sajid Javed;Soon Ki Jung

  • Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

    T. Bouwmans;B. Garcia-Garcia

Frequent Co-Authors

Fatih Porikli
Fatih Porikli Australian National University
Namrata Vaswani
Namrata Vaswani Iowa State University
Yuejie Chi
Yuejie Chi Carnegie Mellon University
Zhouchen Lin
Zhouchen Lin Peking University
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Huiyu Zhou
Huiyu Zhou University of Leicester
M. Emre Celebi
M. Emre Celebi University of Central Arkansas
Ricardo Otazo
Ricardo Otazo Memorial Sloan Kettering Cancer Center
Yongchun Fang
Yongchun Fang Nankai University

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