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Computer Science

D-Index
49
Citations
9657
World Ranking
5890
National Ranking
121

Overview

Eric Marchand is affiliated with the University of Rennes in France. Their research work primarily spans the fields of Computer Science and Engineering, with a focus on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Statistics and Probability, Artificial Intelligence, and Geology.

The main topics covered in Marchand's research include Robotics and Sensor-Based Localization, Advanced Vision and Imaging, Statistical Methods and Inference, Advanced Image and Video Retrieval Techniques, 3D Surveying and Cultural Heritage, Bayesian Methods and Mixture Models, and Advanced Image Processing Techniques.

Marchand has contributed notably to multiple recent papers in the robotics and vision domains. Some of their recent publications are:

  • Direct Visual Servoing in the Frequency Domain, 2020, IEEE Robotics and Automation Letters
  • Detecting Specular Reflections and Cast Shadows to Estimate Reflectance and Illumination of Dynamic Indoor Scenes, 2020, IEEE Transactions on Visualization and Computer Graphics
  • L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation with Small Datasets, 2020, arXiv (Cornell University)
  • Visual Servoing in Autoencoder Latent Space, 2022, IEEE Robotics and Automation Letters
  • Visuo-Haptic Rendering of the Hand during 3D Manipulation in Augmented Reality, 2024, IEEE Transactions on Haptics

Over time, the scientist has published extensively in several frequent venues, including:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • SSRN Electronic Journal
  • IEEE Transactions on Haptics

Among their recurring collaborators are Mathieu Gonzalez, Amine Kacete, Jérôme Royan, François Chaumette, and Pankaj Bhagwat, each co-authoring multiple publications with Marchand.

Best Publications

  • Pose Estimation for Augmented Reality: A Hands-On Survey

    Eric Marchand;Hideaki Uchiyama;Fabien Spindler

  • ViSP for visual servoing: a generic software platform with a wide class of robot control skills

    E. Marchand;F. Spindler;F. Chaumette

  • Real-time markerless tracking for augmented reality: the virtual visual servoing framework

    A.I. Comport;E. Marchand;M. Pressigout;F. Chaumette

  • A real-time tracker for markerless augmented reality

    Andrew I. Comport;Éric Marchand;François Chaumette

  • Virtual visual servoing : a framework for real-time augmented reality

    Éric Marchand;François Chaumette

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

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

  • Eye-in-hand/eye-to-hand cooperation for visual servoing

    G. Flandin;F. Chaumette;E. Marchand

  • Photometric Visual Servoing

    C. Collewet;E. Marchand

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

    Éric Marchand;Patrick Bouthemy;François Chaumette

  • Feature tracking for visual servoing purposes

    Éric Marchand;François Chaumette

  • Chasing a moving target from a flying UAV

    Celine Teuliere;Laurent Eck;Eric Marchand

  • Features tracking for visual servoing purpose

    Éric Marchand;François Chaumette;Campus de Beaulieu

  • Training Deep Neural Networks for Visual Servoing

    Quentin Bateux;Eric Marchand;Jurgen Leitner;Francois Chaumette

  • Mutual Information-Based Visual Servoing

    A. Dame;E. Marchand

  • Dynamic sensor planning in visual servoing

    E. Marchand;G.D. Hager

  • A redundancy-based iterative approach for avoiding joint limits: application to visual servoing

    F. Chaumette;E. Marchand

  • Robust model-based tracking for robot vision

    A.I. Comport;E. Marchand;F. Chaumette

  • CAD Model-based Tracking and 3D Visual-based Control for MEMS Microassembly

    B. Tamadazte;E. Marchand;S. Dembélé;N. Le Fort-Piat

  • Accurate real-time tracking using mutual information

    Amaury Dame;Eric Marchand

  • Visual servoing set free from image processing

    C. Collewet;E. Marchand;F. Chaumette

Frequent Co-Authors

François Chaumette
François Chaumette University of Rennes
Anatole Lécuyer
Anatole Lécuyer French Institute for Research in Computer Science and Automation - INRIA
Patrick Bouthemy
Patrick Bouthemy French Institute for Research in Computer Science and Automation - INRIA
Maud Marchal
Maud Marchal French Institute for Research in Computer Science and Automation - INRIA
Peter Corke
Peter Corke Queensland University of Technology
Paolo Robuffo Giordano
Paolo Robuffo Giordano Max Planck Institute for Biological Cybernetics
Danica Kragic
Danica Kragic Royal Institute of Technology
Alessandro Rizzo
Alessandro Rizzo Polytechnic University of Turin
Julien Pettré
Julien Pettré French Institute for Research in Computer Science and Automation - INRIA
Cyrill Stachniss
Cyrill Stachniss University of Bonn

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