Pierre Kornprobst
Affiliations: | INRIA Sophia Antipolis, Biot, Provence-Alpes-Côte d'Azur, France |
Area:
Computational Neurosciences, Computer VisionWebsite:
http://www-sop.inria.fr/members/Pierre.Kornprobst/Google:
"Pierre Kornprobst"Mean distance: 17.02 (cluster 23)
Cross-listing: MathTree
Parents
Sign in to add mentor| Gilles Aubert | grad student | 1995-1998 | UNSA (MathTree) |
| Rachid Deriche | grad student | 1995-1998 | INRIA Sophia Antipolis |
Children
Sign in to add trainee| Neil D B Bruce | grad student | York University | |
| María José Escobar | grad student | 2006-2009 | INRIA Sophia Antipolis |
| Adrien Wohrer | grad student | 2006-2009 | INRIA Sophia Antipolis |
| Émilien Tlapale | grad student | 2006-2010 | INRIA Sophia Antipolis |
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Publications
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| Benzi M, Escobar M, Kornprobst P. (2018) A bio-inspired synergistic virtual retina model for tone mapping Computer Vision and Image Understanding. 168: 21-36 |
| Cessac B, Kornprobst P, Kraria S, et al. (2017) PRANAS: A New Platform for Retinal Analysis and Simulation. Frontiers in Neuroinformatics. 11: 49 |
| Medathati NVK, Rankin J, Meso AI, et al. (2017) Recurrent network dynamics reconciles visual motion segmentation and integration. Scientific Reports. 7: 11270 |
| Meso AI, Rankin J, Faugeras O, et al. (2016) The relative contribution of noise and adaptation to competition during tri-stable motion perception. Journal of Vision. 16: 6 |
| Masquelier T, Portelli G, Kornprobst P. (2016) Microsaccades enable efficient synchrony-based coding in the retina: a simulation study. Scientific Reports. 6: 24086 |
| Drogoul A, Aubert G, Cessac B, et al. (2016) A new nonconvex variational approach for sensory neurons receptive field estimation Journal of Physics: Conference Series. 756: 012006 |
| Pamplona D, Hilgen G, Cessac B, et al. (2015) A super-resolution approach for receptive fields estimation of neuronal ensembles Bmc Neuroscience. 16 |
| Solari F, Chessa M, Medathati NVK, et al. (2015) What can we expect from a V1-MT feedforward architecture for optical flow estimation? Signal Processing: Image Communication |
| Medathati NVK, Neumann H, Masson GS, et al. (2015) Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision Computer Vision and Image Understanding. 150: 1-30 |
| Rankin J, Meso AI, Masson GS, et al. (2014) Bifurcation study of a neural field competition model with an application to perceptual switching in motion integration. Journal of Computational Neuroscience. 36: 193-213 |