Pierre Kornprobst - Publications

Affiliations: 
INRIA Sophia Antipolis, Biot, Provence-Alpes-Côte d'Azur, France 
Area:
Computational Neurosciences, Computer Vision
Website:
http://www-sop.inria.fr/members/Pierre.Kornprobst/

53 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Benzi M, Escobar M, Kornprobst P. A bio-inspired synergistic virtual retina model for tone mapping Computer Vision and Image Understanding. 168: 21-36. DOI: 10.1016/J.Cviu.2017.11.013  0.386
2017 Cessac B, Kornprobst P, Kraria S, Nasser H, Pamplona D, Portelli G, Viéville T. PRANAS: A New Platform for Retinal Analysis and Simulation. Frontiers in Neuroinformatics. 11: 49. PMID 28919854 DOI: 10.3389/Fninf.2017.00049  0.763
2017 Medathati NVK, Rankin J, Meso AI, Kornprobst P, Masson GS. Recurrent network dynamics reconciles visual motion segmentation and integration. Scientific Reports. 7: 11270. PMID 28900120 DOI: 10.1038/S41598-017-11373-Z  0.594
2016 Meso AI, Rankin J, Faugeras O, Kornprobst P, Masson GS. The relative contribution of noise and adaptation to competition during tri-stable motion perception. Journal of Vision. 16: 6. PMID 27936270 DOI: 10.1167/16.15.6  0.545
2016 Masquelier T, Portelli G, Kornprobst P. Microsaccades enable efficient synchrony-based coding in the retina: a simulation study. Scientific Reports. 6: 24086. PMID 27063867 DOI: 10.1038/Srep24086  0.321
2016 Drogoul A, Aubert G, Cessac B, Kornprobst P. A new nonconvex variational approach for sensory neurons receptive field estimation Journal of Physics: Conference Series. 756: 012006. DOI: 10.1088/1742-6596/756/1/012006  0.445
2015 Pamplona D, Hilgen G, Cessac B, Sernagor E, Kornprobst P. A super-resolution approach for receptive fields estimation of neuronal ensembles Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P130  0.345
2015 Solari F, Chessa M, Medathati NVK, Kornprobst P. What can we expect from a V1-MT feedforward architecture for optical flow estimation? Signal Processing: Image Communication. DOI: 10.1016/J.Image.2015.04.006  0.419
2015 Medathati NVK, Neumann H, Masson GS, Kornprobst P. Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision Computer Vision and Image Understanding. 150: 1-30. DOI: 10.1016/J.Cviu.2016.04.009  0.502
2014 Rankin J, Meso AI, Masson GS, Faugeras O, Kornprobst P. Bifurcation study of a neural field competition model with an application to perceptual switching in motion integration. Journal of Computational Neuroscience. 36: 193-213. PMID 24014258 DOI: 10.1007/S10827-013-0465-5  0.58
2014 Masquelier T, Portelli G, Kornprobst P. Microsaccades enable efficient synchrony-based visual feature learning and detection Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P121  0.333
2014 Portelli G, Barrett J, Sernagor E, Masquelier T, Kornprobst P. Rapid neural coding in the mouse retina with the first wave of spikes Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P120  0.321
2013 Rankin J, Tlapale E, Veltz R, Faugeras O, Kornprobst P. Bifurcation analysis applied to a model of motion integration with a multistable stimulus. Journal of Computational Neuroscience. 34: 103-24. PMID 22870848 DOI: 10.1007/S10827-012-0409-5  0.781
2013 Escobar M, Toledo PF, Masson GS, Kornprobst P. MT Motion integration can be explained by the spatiotemporal frequency content of V1 surround suppression Journal of Vision. 13: 362-362. DOI: 10.1167/13.9.362  0.356
2013 Masmoudi K, Antonini M, Kornprobst P. Streaming an image through the eye: The retina seen as a dithered scalable image coder Signal Processing: Image Communication. 28: 856-869. DOI: 10.1016/J.Image.2012.07.005  0.34
2012 Masmoudi K, Antonini M, Kornprobst P. Frames for exact inversion of the rank order coder. Ieee Transactions On Neural Networks and Learning Systems. 23: 353-9. PMID 24808514 DOI: 10.1109/Tnnls.2011.2179557  0.348
2012 Rankin J, Meso AI, Masson GS, Faugeras O, Kornprobst P. Perceptual transition dynamics of a multi-stable visual motion stimulus II: modelling Journal of Vision. 12: 749-749. DOI: 10.1167/12.9.749  0.547
2012 Meso AI, Rankin J, Kornprobst P, Faugeras O, Masson G. Perceptual transition dynamics of a multi-stable visual motion stimulus I: experiments Journal of Vision. 12: 748-748. DOI: 10.1167/12.9.748  0.556
2012 Rankin J, Meso A, Masson GS, Faugeras O, Kornprobst P. Motion direction integration following the onset of multistable stimuli (II): stability properties explain dynamic shifts in the dominant perceived direction Perception. 41: 24-24. DOI: 10.1068/V120175  0.363
2012 Escobar MJ, Kornprobst P. Action recognition via bio-inspired features: The richness of center-surround interaction Computer Vision and Image Understanding. 116: 593-605. DOI: 10.1016/J.Cviu.2012.01.002  0.391
2012 Tlapale E, Kornprobst P, Bouecke JD, Neumann H, Masson GS. Evaluating motion estimation models from behavioural and psychophysical data Lecture Notes of the Institute For Computer Sciences, Social-Informatics and Telecommunications Engineering. 87: 483-496. DOI: 10.1007/978-3-642-32615-8_46  0.766
2011 Escobar M, Toledo PF, Masson GS, Kornprobst P. How MT neurons get influenced by V1 surround suppression F1000research. 2. DOI: 10.7490/F1000Research.2199.1  0.402
2011 Neumann H, Bouecke JD, Tlapale E, Kornprobst P. Neural mechanisms of motion detection, integration, and segregation: From biology to artificial image processing systems Eurasip Journal On Advances in Signal Processing. 2011. DOI: 10.1155/2011/781561  0.795
2011 Ramírez-Manzanares A, Rivera M, Kornprobst P, Lauze F. Variational multi-valued velocity field estimation for transparent sequences Journal of Mathematical Imaging and Vision. 40: 285-304. DOI: 10.1007/S10851-011-0260-8  0.337
2011 Tlapale E, Kornprobst P, Masson GS, Faugeras O. A Neural Field Model for Motion Estimation Springer Proceedings in Mathematics. 5: 159-179. DOI: 10.1007/978-3-642-19604-1_9  0.512
2010 Tlapale E, Masson GS, Kornprobst P. Modelling the dynamics of motion integration with a new luminance-gated diffusion mechanism. Vision Research. 50: 1676-92. PMID 20553965 DOI: 10.1016/J.Visres.2010.05.022  0.781
2010 Tlapale E, Masson GS, Kornprobst P. A dynamical neural model of motion integration Journal of Vision. 10: 843-843. DOI: 10.1167/10.7.843  0.472
2010 Kornprobst P, Tlapale E, Bouecke J, Neumann H, Masson GS. A Bio-Inspired Evaluation Methodology for Motion Estimation Journal of Vision. 10: 835-835. DOI: 10.1167/10.7.835  0.468
2009 Wohrer A, Kornprobst P. Virtual Retina: a biological retina model and simulator, with contrast gain control. Journal of Computational Neuroscience. 26: 219-49. PMID 18670870 DOI: 10.1007/S10827-008-0108-4  0.751
2009 Aubert G, Kornprobst P. Can the nonlocal characterization of sobolev spaces by bourgain et al. be useful for solving variational problems? Siam Journal On Numerical Analysis. 47: 844-860. DOI: 10.1137/070696751  0.491
2009 Escobar MJ, Masson GS, Vieville T, Kornprobst P. Action recognition using a bio-inspired feedforward spiking network International Journal of Computer Vision. 82: 284-301. DOI: 10.1007/S11263-008-0201-1  0.767
2007 Viéville T, Chemla S, Kornprobst P. How do high-level specifications of the brain relate to variational approaches? Journal of Physiology, Paris. 101: 118-35. PMID 18035526 DOI: 10.1016/J.Jphysparis.2007.10.010  0.33
2007 Rochel O, Kornprobst P, Vieville T. Experimenting the variational definition of neural map computation Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P179  0.742
2007 Escobar M, Kornprobst P, Vieville T. Spike to spike MT model and applications Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P150  0.762
2007 Chemla S, Chavane F, Vieville T, Kornprobst P. Biophysical cortical column model for optical signal analysis Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P140  0.769
2006 Escobar MJ, Wohrer A, Kornprobst P, Viéville T. Biological motion recognition using a MT-like model 3rd Ieee Latin American Robotics Symposium, Lars'06. 47-52. DOI: 10.1109/LARS.2006.334317  0.76
2006 Wohrer A, Masson G, Perrinet L, Kornprobst P, Viéville T. Contrast sensitivity adaptation in a virtual spiking retina and its comparison with mammalian retinas Perception. 35: 0-0. DOI: 10.1068/V060573  0.499
2006 Wohrer A, Kornprobst P, Viéville T. From light to spikes: A large-scale retina simulator Ieee International Conference On Neural Networks - Conference Proceedings. 4562-4570.  0.721
2006 Viéville T, Kornprobst P. Modeling cortical maps with feed-backs Ieee International Conference On Neural Networks - Conference Proceedings. 110-117.  0.745
2004 Faugeras O, Adde G, Charpiat G, Chefd'hotel C, Clerc M, Deneux T, Deriche R, Hermosillo G, Keriven R, Kornprobst P, Kybic J, Lenglet C, Lopez-Perez L, Papadopoulo T, Pons JP, et al. Variational, geometric, and statistical methods for modeling brain anatomy and function. Neuroimage. 23: S46-55. PMID 15501100 DOI: 10.1016/J.Neuroimage.2004.07.015  0.571
2004 Peeters RR, Kornprobst P, Nikolova M, Sunaert S, Vieville T, Malandain G, Deriche R, Faugeras O, Ng M, Van Hecke P. The use of super-resolution techniques to reduce slice thickness in functional MRI International Journal of Imaging Systems and Technology. 14: 131-138. DOI: 10.1002/Ima.20016  0.748
2003 Deriche R, Kornprobst P, Nikolova M, Ng M. Half-quadratic regularization for MRI image restoration Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6: 585-588.  0.487
2003 Lacombe C, Aubert G, Blanc-Féraucd L, Kornprobst P. Filtering interferometric phase images by anisotropic diffusion Ieee International Conference On Image Processing. 3: 141-144.  0.428
2003 Kornprobst P, Peelers R, Nikolova M, Deriche R, Ng M, Van Hecke P. A superresolution framework for fMRI sequences and its impact on resulting activation maps Lecture Notes in Computer Science. 2879: 117-125.  0.469
2002 Lacombe C, Kornprobst P, Aubert G, Blanc-Feraud L. A variational approach to one dimensional phase unwrapping Proceedings - International Conference On Pattern Recognition. 16: 810-813.  0.404
1999 Aubert G, Deriche R, Kornprobst P. Computing optical flow via variational techniques Siam Journal On Applied Mathematics. 60: 156-182. DOI: 10.1137/S0036139998340170  0.66
1999 Kornprobst P, Deriche R, Aubert G. Image sequence analysis via partial differential equations Journal of Mathematical Imaging and Vision. 11: 5-26. DOI: 10.1023/A:1008318126505  0.702
1999 Aubert G, Kornprobst P. A mathematical study of the relaxed optical flow problem in the space BV (Ω) Siam Journal On Mathematical Analysis. 30: 1282-1308.  0.407
1998 Kornprobst P, Deriche R, Aubert G. Mage sequence restoration: A PDE based coupled method for image restoration and motion segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1407: 548-562. DOI: 10.1007/BFb0054764  0.657
1997 Kornprobst P, Deriche R, Aubert G. Image restoration via PDE Proceedings of Spie - the International Society For Optical Engineering. 2942: 22-33. DOI: 10.1117/12.267177  0.609
1997 Kornprobst P, Deriche R, Aubert G. Image coupling, restoration and enhancement via PDE's Ieee International Conference On Image Processing. 2: 458-461.  0.605
1997 Kornprobst P, Deriche R, Aubert G. Nonlinear operators in image restoration Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 325-330.  0.595
1996 Deriche R, Kornprobst P, Aubert G. Optical-flow estimation while preserving its discontinuities: A variational approach Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1035: 69-80.  0.586
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