Jonathan Vacher

According to our database, Jonathan Vacher authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Perceptual Scales Predicted by Fisher Information Metrics.

Jonathan Vacher, Pascal Mamassian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Measuring uncertainty in human visual segmentation.

Jonathan Vacher, Claire Launay, Pascal Mamassian, Ruben Coen Cagli

PLoS Comput. Biol., 2023

Perceptual Measurements, Distances and Metrics.

Jonathan Vacher, Pascal Mamassian

CoRR, 2023

2022

Flexibly regularized mixture models and application to image segmentation.

Jonathan Vacher, Claire Launay, Ruben Coen Cagli

Neural Networks, 2022

Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models.

Claire Launay, Jonathan Vacher, Ruben Coen Cagli

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

The Portilla-Simoncelli Texture Model: towards Understanding the Early Visual Cortex.

Jonathan Vacher, Thibaud Briand

Image Process. Line, 2021

2020

Texture Interpolation for Probing Visual Perception.

Jonathan Vacher, Aida Davila, Adam Kohn, Ruben Coen Cagli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis.

Jonathan Vacher, Ruben Coen Cagli

CoRR, 2019

2018

Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures.

Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré

Neural Comput., 2018

An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images.

Jonathan Vacher, Pascal Mamassian, Ruben Coen Cagli

CoRR, 2018

Control Synthesis for Stochastic Switched Systems using the Tamed Euler Method.

Adrien Le Coënt, Laurent Fribourg, Jonathan Vacher

Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

2016

How to Apply a Filter Defined in the Frequency Domain by a Continuous Function.

Thibaud Briand, Jonathan Vacher

Image Process. Line, 2016

2015

Biologically Inspired Dynamic Textures for Probing Motion Perception.

Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm.

Thibaud Briand, Jonathan Vacher, Bruno Galerne, Julien Rabin

Image Process. Line, 2014