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Thierry Viéville
Researcher at French Institute for Research in Computer Science and Automation
Publications - 147
Citations - 3605
Thierry Viéville is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Neural coding & Artificial neural network. The author has an hindex of 30, co-authored 142 publications receiving 3431 citations. Previous affiliations of Thierry Viéville include Intuitive Surgical & Institut national de la recherche agronomique.
Papers
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Journal ArticleDOI
Simulation of networks of spiking neurons: A review of tools and strategies
Romain Brette,Michelle Rudolph,Ted Carnevale,Michael L. Hines,David Beeman,James M. Bower,Markus Diesmann,Markus Diesmann,Abigail Morrison,Philip H. Goodman,Frederick C. Harris,Milind Zirpe,Thomas Natschläger,Dejan Pecevski,G. Bard Ermentrout,Mikael Djurfeldt,Anders Lansner,Olivier Rochel,Thierry Viéville,Eilif Muller,Andrew P. Davison,Sami El Boustani,Alain Destexhe +22 more
TL;DR: In this paper, a review of different aspects of the simulation of spiking neural networks is presented, with the aim of identifying the appropriate integration strategy and simulation tool to use for a given modeling problem related to spiking networks.
Real time correlation-based stereo: algorithm, implementations and applications
Olivier Faugeras,Bernard Hotz,Hervé Mathieu,Thierry Viéville,Zhengyou Zhang,Pascal Fua,Eric Théron,Laurent Moll,Gérard Berry,Jean Vuillemin,P. Bertin,Catherine Proy +11 more
TL;DR: The algorithm that has been described is not the most sophisticated available but it has made it robust and reliable thanks to a number of improvements and has shown that real time stereo is possible today at low-cost and can be applied in real applications.
Book ChapterDOI
Canonic representations for the geometries of multiple projective views
TL;DR: It is shown how a special decomposition of general projection matrices, called canonic, enables us to build geometric descriptions for a system of cameras which are invariant with respect to a given group of transformations.
Journal ArticleDOI
Canonical Representations for the Geometries of Multiple Projective Views
TL;DR: This work presents a new unified representation which will be useful when dealing with multiple views in the case of uncalibrated cameras, and shows how a special decomposition of a set of two or three general projection matrices, called canonic, enables us to build geometric descriptions for a system of cameras which are invariant with respect to a given group of transformations.
Journal ArticleDOI
Overview of facts and issues about neural coding by spikes
TL;DR: The aim is to demystify some aspects of coding with spike-timing, through a simple review of well-understood technical facts regarding spike coding, to better understanding of the extent to which computing and modeling with spiking neuron networks might be biologically plausible and computationally efficient.