Jonathan Vacher

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Topics

Visual Perception

Frequency Domain

Top Venues

Image Process. Line

Publications

Jonathan Vacher, Pascal Mamassian
Perceptual Scales Predicted by Fisher Information Metrics. ICLR (2024)
Jonathan Vacher, Claire Launay, Pascal Mamassian, Ruben Coen Cagli
Measuring uncertainty in human visual segmentation. PLoS Comput. Biol. 19 (9) (2023)
Jonathan Vacher, Claire Launay, Pascal Mamassian, Ruben Coen Cagli
Measuring uncertainty in human visual segmentation. CoRR (2023)
Jonathan Vacher, Pascal Mamassian
Perceptual Measurements, Distances and Metrics. CoRR (2023)
Jonathan Vacher, Claire Launay, Ruben Coen Cagli
Flexibly regularized mixture models and application to image segmentation. Neural Networks 149 (2022)
Claire Launay, Jonathan Vacher, Ruben Coen Cagli
Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models. ICIP (2022)
Jonathan Vacher, Thibaud Briand
The Portilla-Simoncelli Texture Model: towards Understanding the Early Visual Cortex. Image Process. Line 11 (2021)
Jonathan Vacher, Aida Davila, Adam Kohn, Ruben Coen Cagli
Texture Interpolation for Probing Visual Perception. CoRR (2020)
Jonathan Vacher, Aida Davila, Adam Kohn, Ruben Coen Cagli
Texture Interpolation for Probing Visual Perception. NeurIPS (2020)
Jonathan Vacher, Ruben Coen Cagli
Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis. CoRR (2019)
Adrien Le Coënt, Laurent Fribourg, Jonathan Vacher
Control Synthesis for Stochastic Switched Systems using the Tamed Euler Method. ADHS (2018)
Jonathan Vacher, Pascal Mamassian, Ruben Coen Cagli
An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. CoRR (2018)
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures. Neural Comput. 30 (12) (2018)
Thibaud Briand, Jonathan Vacher
How to Apply a Filter Defined in the Frequency Domain by a Continuous Function. Image Process. Line 6 (2016)
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures. CoRR (2016)
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
Biologically Inspired Dynamic Textures for Probing Motion Perception. CoRR (2015)
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
Biologically Inspired Dynamic Textures for Probing Motion Perception. NIPS (2015)
Thibaud Briand, Jonathan Vacher, Bruno Galerne, Julien Rabin
The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm. Image Process. Line 4 (2014)