3 papers
cs.CV2023
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…
q-bio.NC2020
Texture Interpolation for Probing Visual Perception
Jonathan Vacher, Aida Davila, Adam Kohn +1
Texture synthesis models are important tools for understanding visual processing. In particular, statistical approaches based on neurally relevant features have been instrumental i…
cs.CV2018
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…