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Computer Science

D-Index
37
Citations
5401
World Ranking
10822
National Ranking
264

Overview

Monique Thonnat is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research spans several interconnected scientific disciplines, focusing primarily on neuroscience, computer science, and medicine. Their work integrates insights from cognitive neuroscience and psychiatry and mental health with advanced computational methods in artificial intelligence and computer vision.

Their main fields of study include:

  • Neuroscience
  • Computer Science
  • Medicine

Within these broader fields, their subfields of study cover:

  • Cognitive Neuroscience
  • Psychiatry and Mental Health
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

Monique Thonnat's research topics are focused on areas intersecting brain activity analysis and machine learning technologies. Their key topics of interest include:

  • EEG and Brain-Computer Interfaces
  • Epilepsy Research and Treatment
  • Anomaly Detection Techniques and Applications
  • Neural Dynamics and Brain Function
  • Machine Learning in Healthcare
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications

The researcher has contributed to multiple peer-reviewed publications in notable venues. Recent significant papers include:

  • "Automated video analysis of emotion and dystonia in epileptic seizures" (2022), published in Epilepsy Research
  • "VPN: Learning Video-Pose Embedding for Activities of Daily Living" (2020), published in Lecture notes in computer science
  • "A Self-Supervised Pre-Training Framework for Vision-Based Seizure Classification" (2022), published at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Rhythmic rocking stereotypies in frontal lobe seizures: A quantified video study" (2020), published in Neurophysiologie Clinique
  • "Neural correlates of rhythmic rocking in prefrontal seizures" (2020), published in Neurophysiologie Clinique

Their frequent co-authors have included:

  • Jen-Cheng Hou
  • Fabricē Bartolomei
  • Aileen McGonigal
  • Srijan Das
  • Saurav Sharma

Scholarly work is often published in venues aligned with their research interests, such as:

  • Neurophysiologie Clinique
  • Epilepsy Research
  • Lecture notes in computer science
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Best Publications

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

    Etienne Corvee;Francois Bremond;Monique Thonnat

  • 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

  • Towards ontology-based cognitive vision

    Nicolas Maillot;Monique Thonnat;Alain Boucher

  • 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

  • Ontology based complex object recognition

    Nicolas Eric Maillot;Monique Thonnat

  • 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

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

    awomir B;Guillaume Charpiat

  • Activity recognition from video sequences using declarative models

    Nathanaël A. Rota;Monique Thonnat

  • Video-understanding framework for automatic behavior recognition

    François Brémond;Monique Thonnat;Marcos Zúñiga

  • Tracking multiple nonrigid objects in video sequences

    F. Bremond;M. Thonnat

  • Video understanding for complex activity recognition

    Florent Fusier;Valéry Valentin;François Brémond;Monique Thonnat

  • Video understanding for metro surveillance

    F. Cupillard;A. Avanzi;F. Bremond;M. Thonnat

  • A knowledge-based approach to integration of image processing procedures

    Véronique Clément;Monique Thonnat

  • Applying 3D human model in a posture recognition system

    Bernard Boulay;Francois Brémond;Monique Thonnat

  • Monitoring Activities of Daily Living (ADLs) of Elderly Based on 3D Key Human Postures

    Nadia Zouba;Bernard Boulay;Francois Bremond;Monique Thonnat

  • Design and assessment of an intelligent activity monitoring platform

    Alberto Avanzi;François Brémond;Christophe Tornieri;Monique Thonnat

Frequent Co-Authors

François Brémond
François Brémond French Institute for Research in Computer Science and Automation - INRIA
Sundaram Suresh
Sundaram Suresh Indian Institute of Science
Carmen Galán
Carmen Galán University of Córdoba
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Aileen McGonigal
Aileen McGonigal Aix-Marseille University
Fabrice Bartolomei
Fabrice Bartolomei Aix-Marseille University
Josef Kittler
Josef Kittler University of Surrey
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne
Giorgio Metta
Giorgio Metta Italian Institute of Technology
Peter Auer
Peter Auer University of Leoben

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