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Jonathan Vacher
Jonathan Vacher
Maître de Conférence (Associate Professor) @ MAP5, Université Paris Cité
Verified email at u-paris.fr - Homepage
Title
Cited by
Cited by
Year
The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm
T Briand, J Vacher, B Galerne, J Rabin
Image Processing On Line 4, 276--299, 2014
35*2014
Texture interpolation for probing visual perception
J Vacher, A Davila, A Kohn, R Coen-Cagli
Advances in Neural Information Processing Systems 33, 2020
202020
Flexibly regularized mixture models and application to image segmentation
J Vacher, C Launay, R Coen-Cagli
Neural Networks, 2022
14*2022
Biologically inspired dynamic textures for probing motion perception
J Vacher, A Meso, LU Perrinet, G Peyré
Advances in Neural Information Processing Systems 28, 2015
132015
Bayesian modeling of motion perception using dynamical stochastic textures
J Vacher, AI Meso, LU Perrinet, G Peyré
Neural computation 30 (12), 3355-3392, 2018
102018
Auditory motion perception emerges from successive sound localizations integrated over time
V Roggerone, J Vacher, C Tarlao, C Guastavino
Scientific Reports 9 (1), 16437, 2019
92019
The Portilla-Simoncelli Texture Model: towards Understanding the Early Visual Cortex
J Vacher, T Briand
Image Processing On Line 11, 170-211, 2021
72021
Probabilistic Model of Visual Segmentation
J Vacher, P Mamassian, R Coen-Cagli
arXiv preprint arXiv:1806.00111, 2019
4*2019
Measuring uncertainty in human visual segmentation
J Vacher, C Launay, P Mamassian, R Coen-Cagli
PLoS Computational Biology 19 (9), e1011483, 2023
12023
Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models
C Launay, J Vacher, R Coen-Cagli
2022 IEEE International Conference on Image Processing (ICIP), 4073-4077, 2022
12022
Measuring Human Probabilistic Segmentation Maps
J Vacher, P Mamassian, R Coen-Cagli
Cosyne Abstracts, 2020
12020
Control synthesis for stochastic switched systems using the tamed euler method
A Le Coënt, L Fribourg, J Vacher
IFAC-PapersOnLine 51 (16), 259-264, 2018
12018
How to Apply a Filter Defined in the Frequency Domain by a Continuous Function ?
T Briand, J Vacher
Image Processing On Line 6, 183-211, 2016
12016
Perceptual Measurements, Distances and Metrics
J Vacher, P Mamassian
arXiv preprint arXiv:2310.11759, 2023
2023
Unifying Different Psychometric Methods: Theory and Experiment
J Vacher, R Coen-Cagli, P Mamassian
Journal of Vision 22 (14), 3879-3879, 2022
2022
Sub-second dynamics of precision and confidence following voluntary shifts of spatial attention
S Recht, J Vacher, NA Busch, L Dugue
PERCEPTION 51, 84-85, 2022
2022
Optimisation relaxée adaptative de maillages éléments finis
K Kergrene, J Vacher, S Prudhomme, VE Iannuzzi
15ème colloque national en calcul des structures, 2022
2022
Measuring and Modeling Human Probabilistic Segmentation Maps
J Vacher, P Mamassian, R Coen-Cagli
Journal of Vision 20 (11), 260-260, 2020
2020
Probabilistic reachability and control synthesis for stochastic switched systems using the tamed Euler method
A Le Coënt, L Fribourg, J Vacher, R Wisniewski
Nonlinear Analysis: Hybrid Systems 36, 100860, 2020
2020
An Ideal Observer Model for Grouping and Contour Integration in Natural Images
J Vacher, P Mamassian, R Coen-Cagli
PERCEPTION 48, 88-88, 2019
2019
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