| 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 |
0.544 |
|
| 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 |
0.392 |
|
| 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 |
0.473 |
|
| 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 |
0.498 |
|
| 2006 |
Viéville T, Kornprobst P. Modeling cortical maps with feed-backs Ieee International Conference On Neural Networks - Conference Proceedings. 110-117. |
0.745 |
|
| 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 |
|
| 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 |
0.569 |
|
| 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 |
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. |
0.467 |
|
| 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 |
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. |
0.485 |
|
| 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 |
0.659 |
|
| 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 |
0.701 |
|
| 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 |
0.655 |
|
| 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 |
0.607 |
|
| 1997 |
Kornprobst P, Deriche R, Aubert G. Image coupling, restoration and enhancement via PDE's Ieee International Conference On Image Processing. 2: 458-461. |
0.604 |
|
| 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. |
0.593 |
|
| 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. |
0.584 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2008 |
Escobar MJ, Kornprobst P. Action recognition with a bio-inspired feedforward motion processing model: The richness of center-surround interactions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5305: 186-199. DOI: 10.1007/978-3-540-88693-8-14 |
0.28 |
|
| 2017 |
Hilgen G, Pirmoradian S, Pamplona D, Kornprobst P, Cessac B, Hennig MH, Sernagor E. Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina. Scientific Reports. 7: 42330. PMID 28186129 DOI: 10.1038/Srep42330 |
0.266 |
|
| 2005 |
Kornprobst P, Vieille T, Dimo IK. Could early isual processes be sufficient to abel motions? Proceedings of the International Joint Conference On Neural Networks. 3: 1687-1692. DOI: 10.1109/IJCNN.2005.1556133 |
0.249 |
|
| 2022 |
Pamplona D, Hilgen G, Hennig MH, Cessac B, Sernagor E, Kornprobst P. Receptive field estimation in large visual neuron assemblies using a super-resolution approach. Journal of Neurophysiology. 127: 1334-1347. PMID 35235437 DOI: 10.1152/jn.00076.2021 |
0.22 |
|
| 2009 |
Paris S, Kornprobst P, Tumblin J, Durand F. Bilateral filtering: Theory and applications Foundations and Trends in Computer Graphics and Vision. 4: 1-73. DOI: 10.1561/0600000020 |
0.21 |
|
| 2016 |
Portelli G, Barrett JM, Hilgen G, Masquelier T, Maccione A, Di Marco S, Berdondini L, Kornprobst P, Sernagor E. Rank Order Coding: a Retinal Information Decoding Strategy Revealed by Large-Scale Multielectrode Array Retinal Recordings. Eneuro. 3. PMID 27275008 DOI: 10.1523/ENEURO.0134-15.2016 |
0.175 |
|
| 2011 |
Masmoudi K, Antonini M, Kornprobst P. A bio-inspired image coder with temporal scalability Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6915: 447-458. DOI: 10.1007/978-3-642-23687-7_41 |
0.167 |
|
| 2010 |
Masmoudi K, Antonini M, Kornprobst P. Another look at the retina as an image scalar quantizer Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 3076-3079. DOI: 10.1109/ISCAS.2010.5537983 |
0.161 |
|
| 2010 |
Masmoudi K, Antonini M, Kornprobst P. Another look at the retina as an image dithered scalar quantizer 11th International Workshop On Image Analysis For Multimedia Interactive Services, Wiamis 10. |
0.161 |
|
| 2009 |
Bruce NDB, Kornprobst P. On the role of context in probabilistic models of visual saliency Proceedings - International Conference On Image Processing, Icip. 3089-3092. DOI: 10.1109/ICIP.2009.5414483 |
0.141 |
|
| 2023 |
Calabrèse A, Fournet V, Dours S, Matonti F, Castet E, Kornprobst P. A New Vessel-Based Method to Estimate Automatically the Position of the Nonfunctional Fovea on Altered Retinography From Maculopathies. Translational Vision Science & Technology. 12: 9. PMID 37418249 DOI: 10.1167/tvst.12.7.9 |
0.127 |
|
| 2015 |
Gomez CH, Medathati K, Kornprobst P, Murino V, Sona D. Improving freak descriptor for image classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9163: 14-23. DOI: 10.1007/978-3-319-20904-3_2 |
0.116 |
|
| 2011 |
Ali WBH, Debreuve E, Kornprobst P, Barlaud M. Bio-inspired Bags-of-Features for image classification Kdir 2011 - Proceedings of the International Conference On Knowledge Discovery and Information Retrieval. 277-281. |
0.1 |
|
| 2007 |
Ramírez-Manzanares A, Rivera M, Kornprobst P, Lauze F. A variational approach for multi-valued velocity field estimation in transparent sequences Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4485: 227-238. |
0.093 |
|
| 2010 |
Masmoudi K, Antonini M, Kornprobst P, Perrinet L. A novel bio-inspired static image compression scheme for noisy data transmission over low-bandwidth channels Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3506-3509. DOI: 10.1109/ICASSP.2010.5495949 |
0.085 |
|
| 2009 |
Bruce NDB, Kornprobst P. Harris corners in the real world: A principled selection criterion for interest points based on ecological statistics 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 2160-2167. DOI: 10.1109/CVPRW.2009.5206494 |
0.067 |
|
| 2000 |
Kornprobst P, Medioni G. Tracking segmented objects using tensor voting Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 118-125. |
0.052 |
|
| 2008 |
Paris S, Kornprobst P, Tumblin J, Durand F. A gentle introduction to bilateral filtering and its applications Acm Siggraph 2008 Classes. 1. DOI: 10.1145/1401132.1401134 |
0.046 |
|
| 2000 |
Kornprobst P, Medioni G. A 2D+t tensor voting based approach for tracking Proceedings - International Conference On Pattern Recognition. 15: 1092-1095. |
0.045 |
|
| 2012 |
Masmoudi K, Antonini M, Kornprobst P. A perfectly invertible rank order coder Biosignals 2012 - Proceedings of the International Conference On Bio-Inspired Systems and Signal Processing. 153-162. |
0.027 |
|
| 2008 |
Bernard J, Tlapale E, Calabrese A, Castet E, Kornprobst P. 757 SolairePDF, un logiciel d’aide à la lecture de documents PDF pour les patients basse vision Journal FrançAis D'Ophtalmologie. 31: 226. DOI: 10.1016/S0181-5512(08)71356-1 |
0.023 |
|
| Hide low-probability matches. |