8 citations · 21 across the 6 of their papers we have counts for
4 papers · 1 filter
Measuring uncertainty in human visual segmentation
Jonathan Vacher, Claire Launay, Pascal Mamassian +1
Segmenting visual stimuli into distinct groups of features and visual objects is central to visual function. Classical psychophysical methods have helped uncover many rules of huma…
Flexibly Regularized Mixture Models and Application to Image Segmentation
Jonathan Vacher, Claire Launay, Ruben Coen-Cagli
Probabilistic finite mixture models are widely used for unsupervised clustering. These models can often be improved by adapting them to the topology of the data. For instance, in o…
Probabilistic Model of Visual Segmentation
Jonathan Vacher, Pascal Mamassian, Ruben Coen-Cagli
Visual segmentation is a key perceptual function that partitions visual space and allows for detection, recognition and discrimination of objects in complex environments. The proce…
Biologically Inspired Dynamic Textures for Probing Motion Perception
Jonathan Vacher, Andrew Meso, Laurent U Perrinet +1
Perception is often described as a predictive process based on an optimal inference with respect to a generative model. We study here the principled construction of a generative mo…