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Computer Science

D-Index
32
Citations
6346
World Ranking
12949
National Ranking
5229

Overview

Olivier Le Meur is affiliated with InterDigital in the United States and has contributed extensively to the field of computer science, with a specific focus on computer vision and pattern recognition. Their research intersects with several subfields, including human-computer interaction, cognitive neuroscience, ocean engineering, and psychiatry and mental health.

Their main topics of research encompass various aspects of visual perception and computational techniques, particularly:

  • Visual Attention and Saliency Detection
  • Gaze Tracking and Assistive Technology
  • Image and Video Quality Assessment
  • Image Enhancement Techniques
  • Virtual Reality Applications and Impacts
  • Advanced Image Processing Techniques
  • Evacuation and Crowd Dynamics

Le Meur has published numerous papers in prominent venues, with recent contributions including:

  • "Eye-Gaze Activity in Crowds: Impact of Virtual Reality and Density" (2020), 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
  • "FANet: Features Adaptation Network for 360° Omnidirectional Salient Object Detection" (2020), IEEE Signal Processing Letters
  • "EyeTrackUAV2: A Large-Scale Binocular Eye-Tracking Dataset for UAV Videos" (2020), Drones
  • "Effective schizophrenia recognition using discriminative eye movement features and model-metric based features" (2020), Pattern Recognition Letters
  • "Can we accurately predict where we look at paintings?" (2020), PLoS ONE

Frequently, they collaborate with a set of coauthors who have contributed to a significant number of joint publications. These coauthors include Rémi Cozot, Claire-Hélène Demarty, Brendan David-John, Ricardo Eiris, and Masoud Gheisari. The collaboration with these researchers highlights an emphasis on interdisciplinary work.

Le Meur's work appears in various publication venues known for expertise in their respective domains:

  • OPAL (Open@LaTrobe) (La Trobe University)
  • 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
  • IEEE Signal Processing Letters
  • Drones
  • Neurocomputing

This body of work shows a consistent focus on understanding and developing computational models related to eye tracking, saliency detection in images and videos, and the impact of virtual reality environments on human visual attention.

Best Publications

  • Image Inpainting : Overview and Recent Advances

    Christine Guillemot;Olivier Le Meur

  • Predicting visual fixations on video based on low-level visual features.

    Olivier Le Meur;Patrick Le Callet;Dominique Barba

  • Methods for comparing scanpaths and saliency maps: strengths and weaknesses.

    Olivier Le Meur;Thierry Baccino

  • Saliency Tree: A Novel Saliency Detection Framework

    Zhi Liu;Wenbin Zou;Olivier Le Meur

  • Superpixel-Based Spatiotemporal Saliency Detection

    Zhi Liu;Xiang Zhang;Shuhua Luo;Olivier Le Meur

  • Depth-Aware Salient Object Detection and Segmentation via Multiscale Discriminative Saliency Fusion and Bootstrap Learning

    Hangke Song;Zhi Liu;Huan Du;Guangling Sun

  • Examplar-based inpainting based on local geometry

    Olivier Le Meur;Josselin Gautier;Christine Guillemot

  • Saccadic model of eye movements for free-viewing condition.

    Olivier Le Meur;Zhi Liu

  • Considering Temporal Variations of Spatial Visual Distortions in Video Quality Assessment

    Unknown

  • Co-Saliency Detection Based on Hierarchical Segmentation

    Zhi Liu;Wenbin Zou;Lina Li;Liquan Shen

  • Hierarchical Super-Resolution-Based Inpainting

    Olivier Le Meur;Mounira Ebdelli;Christine Guillemot

  • Memorability of natural scenes: The role of attention

    Matei Mancas;Olivier Le Meur

  • Depth-based image completion for view synthesis

    Josselin Gautier;Olivier Le Meur;Christine Guillemot

  • Video Inpainting With Short-Term Windows: Application to Object Removal and Error Concealment

    Mounira Ebdelli;Olivier Le Meur;Christine Guillemot

  • Super-resolution-based inpainting

    Olivier Le Meur;Christine Guillemot

  • Prediction of the inter-observer visual congruency (IOVC) and application to image ranking

    Olivier Le Meur;Thierry Baccino;Aline Roumy

  • New insights into ambient and focal visual fixations using an automatic classification algorithm.

    Brice Follet;Olivier Le Meur;Thierry Baccino

  • Introducing context-dependent and spatially-variant viewing biases in saccadic models.

    Olivier Le Meur;Antoine Coutrot

  • Adaptive 3D Rendering based on Region-of-Interest

    Christel Chamaret;Sylvain Godeffroy;Patrick Lopez;Olivier Le Meur

  • Efficient depth map compression based on lossless edge coding and diffusion

    Josselin Gautier;Olivier Le Meur;Christine Guillemot

  • What we see is most likely to be what matters: Visual attention and applications

    Olivier Le Meur;Patrick Le Callet

Frequent Co-Authors

Zhi Liu
Zhi Liu Shanghai University
Christine Guillemot
Christine Guillemot French Institute for Research in Computer Science and Automation - INRIA
Patrick Le Callet
Patrick Le Callet University of Nantes
Patrick Bouthemy
Patrick Bouthemy French Institute for Research in Computer Science and Automation - INRIA
Liquan Shen
Liquan Shen Shanghai University
Kenneth Holmqvist
Kenneth Holmqvist University of Regensburg
Ali Borji
Ali Borji Quintic AI
Julien Pettré
Julien Pettré French Institute for Research in Computer Science and Automation - INRIA
Beatrice Pesquet-Popescu
Beatrice Pesquet-Popescu University of Paris-Saclay

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