World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
10127
World Ranking
4625
National Ranking
91

Overview

François Brémond is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France, specializing in computer science with a focus on computer vision and pattern recognition. Their body of work spans across various subfields including artificial intelligence, biomedical engineering, psychiatry and mental health, as well as experimental and cognitive psychology.

The scientist's research prominently covers topics such as human pose and action recognition, anomaly detection techniques and applications, multimodal machine learning applications, face recognition and analysis, gait recognition and analysis, video surveillance and tracking methods, as well as generative adversarial networks and image synthesis.

Key recent papers include:

  • "MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Synthetic Data in Human Analysis: A Survey" (2024), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection" (2021), published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Learning Invariance From Generated Variance for Unsupervised Person Re-Identification" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent co-authors who have collaborated extensively with Brémond include Antitza Dantcheva, Di Yang, Srijan Das, Rui Dai, and Yaohui Wang.

Their publications appear most frequently in venues such as arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Proceedings of the AAAI Conference on Artificial Intelligence, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

François Brémond has contributed to book publications including one with Springer Science+Business Media titled "Image Analysis and Processing - ICIAP 2022."

Best Publications

  • Event detection and analysis from video streams

    G. Medioni;I. Cohen;F. Bremond;S. Hongeng

  • Video-based event recognition: activity representation and probabilistic recognition methods

    Somboon Hongeng;Ram Nevatia;Francois Bremond

  • Person Re-identification Using Spatial Covariance Regions of Human Body Parts

    Etienne Corvee;Francois Bremond;Monique Thonnat

  • ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification

    Hao Chen;Benoit Lagadec;François Bremond

  • Recommendations for the use of Serious Games in people with Alzheimer's Disease, related disorders and frailty.

    Philippe Robert;Alexandra König;Alexandra König;Hélene Amieva;Sandrine Andrieu

  • Automatic video interpretation: a novel algorithm for temporal scenario recognition

    Van-Thinh Vu;Francois Bremond;Monique Thonnat

  • Person Re-identification Using Haar-based and DCD-based Signature

    Etienne Corvee;Francois Bremond;Monique Thonnat

  • SkeleMotion: A New Representation of Skeleton Joint Sequences based on Motion Information for 3D Action Recognition

    Carlos Caetano;Jessica Sena;Franeois Bremond;Jefersson A. Dos Santos

  • Toward Abnormal Trajectory and Event Detection in Video Surveillance

    Serhan Cosar;Giuseppe Donatiello;Vania Bogorny;Carolina Garate

  • Joint Generative and Contrastive Learning for Unsupervised Person Re-identification

    Hao Chen;Yaohui Wang;Benoit Lagadec;Antitza Dantcheva

  • Mitigating Bias in Gender, Age and Ethnicity Classification: a Multi-Task Convolution Neural Network Approach

    Abhijit Das;Antitza Dantcheva;Francois Bremond

  • ETISEO, performance evaluation for video surveillance systems

    A.T. Nghiem;F. Bremond;M. Thonnat;V. Valentin

  • Multiple-shot human re-identification by Mean Riemannian Covariance Grid

    Slawomir Bak;Etienne Corvee;Francois Bremond;Monique Thonnat

  • Toyota Smarthome: Real-World Activities of Daily Living

    Srijan Das;Rui Dai;Michal Koperski;Luca Minciullo

  • Skeleton Image Representation for 3D Action Recognition Based on Tree Structure and Reference Joints

    Carlos Caetano;Francois Bremond;William Robson Schwartz

  • VPN: Learning Video-Pose Embedding for Activities of Daily Living

    Srijan Das;Saurav Sharma;Rui Dai;François Brémond

  • Boosted human re-identification using Riemannian manifolds

    SłAwomir Bk;Etienne CorvéE;Francois BréMond;Monique Thonnat

  • Crowd Behavior Recognition for Video Surveillance

    Shobhit Saxena;François Brémond;Monnique Thonnat;Ruihua Ma

  • Representation and optimal recognition of human activities

    Somboon Hongeng;F. Bremond;R. Nevatia

  • MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection

    Unknown

  • Learning to match appearances by correlations in a covariance metric space

    awomir B;Guillaume Charpiat

Frequent Co-Authors

Monique Thonnat
Monique Thonnat French Institute for Research in Computer Science and Automation - INRIA
Jerome A. Yesavage
Jerome A. Yesavage Stanford University
William Robson Schwartz
William Robson Schwartz Universidade Federal de Minas Gerais
Sundaram Suresh
Sundaram Suresh Indian Institute of Science
Masud Husain
Masud Husain University of Oxford
Pauline Aalten
Pauline Aalten Maastricht University
Jean-Marc Odobez
Jean-Marc Odobez Idiap Research Institute
Ramakant Nevatia
Ramakant Nevatia University of Southern California
Eric Salmon
Eric Salmon University of Liège
Patricia L. Lockwood
Patricia L. Lockwood University of Birmingham

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