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Journal Articles
- 2023
[j6]Jonathan Vacher
, Claire Launay, Pascal Mamassian, Ruben Coen Cagli:
Measuring uncertainty in human visual segmentation. PLoS Comput. Biol. 19(9) (2023)- 2022
- [j5]Jonathan Vacher, Claire Launay, Ruben Coen Cagli:
Flexibly regularized mixture models and application to image segmentation. Neural Networks 149: 107-123 (2022) - 2021
- [j4]Jonathan Vacher, Thibaud Briand:
The Portilla-Simoncelli Texture Model: towards Understanding the Early Visual Cortex. Image Process. Line 11: 170-211 (2021) - 2018
- [j3]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures. Neural Comput. 30(12) (2018) - 2016
- [j2]Thibaud Briand, Jonathan Vacher:
How to Apply a Filter Defined in the Frequency Domain by a Continuous Function. Image Process. Line 6: 183-211 (2016) - 2014
- [j1]Thibaud Briand, Jonathan Vacher, Bruno Galerne, Julien Rabin:
The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm. Image Process. Line 4: 276-299 (2014)
Conference and Workshop Papers
- 2024
- [c5]Jonathan Vacher, Pascal Mamassian:
Perceptual Scales Predicted by Fisher Information Metrics. ICLR 2024 - 2022
- [c4]Claire Launay, Jonathan Vacher, Ruben Coen Cagli:
Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models. ICIP 2022: 4073-4077 - 2020
- [c3]Jonathan Vacher, Aida Davila, Adam Kohn, Ruben Coen Cagli:
Texture Interpolation for Probing Visual Perception. NeurIPS 2020 - 2018
- [c2]Adrien Le Coënt, Laurent Fribourg, Jonathan Vacher:
Control Synthesis for Stochastic Switched Systems using the Tamed Euler Method. ADHS 2018: 259-264 - 2015
- [c1]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Biologically Inspired Dynamic Textures for Probing Motion Perception. NIPS 2015: 1918-1926
Informal and Other Publications
- 2023
- [i7]Jonathan Vacher, Claire Launay, Pascal Mamassian, Ruben Coen Cagli:
Measuring uncertainty in human visual segmentation. CoRR abs/2301.07807 (2023) - [i6]Jonathan Vacher, Pascal Mamassian:
Perceptual Measurements, Distances and Metrics. CoRR abs/2310.11759 (2023) - 2020
- [i5]Jonathan Vacher, Aida Davila, Adam Kohn, Ruben Coen Cagli:
Texture Interpolation for Probing Visual Perception. CoRR abs/2006.03698 (2020) - 2019
- [i4]Jonathan Vacher, Ruben Coen Cagli:
Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis. CoRR abs/1905.10629 (2019) - 2018
- [i3]Jonathan Vacher, Pascal Mamassian, Ruben Coen Cagli:
An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. CoRR abs/1806.00111 (2018) - 2016
- [i2]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures. CoRR abs/1611.01390 (2016) - 2015
- [i1]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Biologically Inspired Dynamic Textures for Probing Motion Perception. CoRR abs/1511.02705 (2015)
Coauthor Index
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