Simulation of networks of spiking neurons: a review of tools and strategies R Brette, M Rudolph, T Carnevale, M Hines, D Beeman, JM Bower, ... Journal of computational neuroscience 23, 349-398, 2007 | 1048 | 2007 |
Real time correlation-based stereo: algorithm, implementations and applications O Faugeras, B Hotz, H Mathieu, T Viéville, Z Zhang, P Fua, E Théron, ... Inria, 1993 | 665 | 1993 |
Canonical representations for the geometries of multiple projective views QT Luong, T Viéville Computer vision and image understanding 64 (2), 193-229, 1996 | 222 | 1996 |
Canonic representations for the geometries of multiple projective views QT Luong, T Viéville Computer Vision—ECCV'94: Third European Conference on Computer Vision …, 1994 | 206 | 1994 |
Action recognition using a bio-inspired feedforward spiking network MJ Escobar, GS Masson, T Vieville, P Kornprobst International journal of computer vision 82, 284-301, 2009 | 115 | 2009 |
The use of super‐resolution techniques to reduce slice thickness in functional MRI RR Peeters, P Kornprobst, M Nikolova, S Sunaert, T Vieville, G Malandain, ... International Journal of Imaging Systems and Technology 14 (3), 131-138, 2004 | 113 | 2004 |
Motion of points and lines in the uncalibrated case T Viéville, O Faugeras, QT Luong International Journal of Computer Vision 17 (1), 7-41, 1996 | 103 | 1996 |
Overview of facts and issues about neural coding by spikes B Cessac, H Paugam-Moisy, T Viéville Journal of Physiology-Paris 104 (1-2), 5-18, 2010 | 96 | 2010 |
On dynamics of integrate-and-fire neural networks with conductance based synapses B Cessac, T Viéville Frontiers in computational neuroscience 2, 228, 2008 | 93 | 2008 |
AI in the media and creative industries G Amato, M Behrmann, F Bimbot, B Caramiaux, F Falchi, A Garcia, ... arXiv preprint arXiv:1905.04175, 2019 | 72 | 2019 |
The inverse EEG and MEG problems: The adjoint state approach I: The continuous case O Faugeras, F Clément, R Deriche, R Keriven, T Papadopoulo, J Roberts, ... INRIA, 1999 | 66 | 1999 |
Cooperation of the inertial and visual systems T Viéville, OD Faugeras Traditional and non-traditional robotic sensors, 339-350, 1990 | 66 | 1990 |
Computation of ego-motion and structure from visual and inertial sensors using the vertical cue T Viéville, E Clergue, PEDS Facao 1993 (4th) International Conference on Computer Vision, 591-598, 1993 | 62 | 1993 |
Computation of inertial information on a robot TVI EVILLE, OD Faugeras | 59 | 1989 |
Using singular displacements for uncalibrated monocular visual systems T Viéville, D Lingrand Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996 | 55 | 1996 |
Autonomous navigation of a mobile robot using inertial and visual cues T Viéville, F Romann, B Hotz, H Mathieu, M Buffa, L Robert, PEDS Facao, ... Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots …, 1993 | 55 | 1993 |
A few steps towards 3d active vision T Viéville Springer Science & Business Media, 2012 | 54 | 2012 |
Using collineations to compute motion and structure in an uncalibrated image sequence T Viéville, C Zeller, L Robert International Journal of Computer Vision 20, 213-242, 1996 | 53 | 1996 |
The first order expansion of motion equations in the uncalibrated case T Viéville, OD Faugeras Computer Vision and Image Understanding 64 (1), 128-146, 1996 | 51 | 1996 |
Motion analysis with a camera with unknown, and possibly varying intrinsic parameters T Viéville, OD Faugeras Proceedings of IEEE International Conference on Computer Vision, 750-756, 1995 | 50 | 1995 |