63 citations · 76 across the 4 of their papers we have counts for
6 papers
Partial success in closing the gap between human and machine vision
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus +4
A few years ago, the first CNN surpassed human performance on ImageNet. However, it soon became clear that machines lack robustness on more challenging test cases, a major obstacle…
Deep Neural Models for color discrimination and color constancy
Alban Flachot, Arash Akbarinia, Heiko H. Schütt +3
Color constancy is our ability to perceive constant colors across varying illuminations. Here, we trained deep neural networks to be color constant and evaluated their performance…
Estimating the contribution of early and late noise in vision from psychophysical data
Jesus Malo, Jose Juan Esteve-Taboada, Guillermo Aguilar +2
In many psychophysical detection and discrimination tasks human performance is thought to be limited by internal or inner noise when neuronal activity is converted into an overt be…
Estimation of perceptual scales using ordinal embedding
Siavash Haghiri, Felix Wichmann, Ulrike von Luxburg
In this paper, we address the problem of measuring and analysing sensation, the subjective magnitude of one's experience. We do this in the context of the method of triads: the sen…
Neural Signatures of Motor Skill in the Resting Brain
Ozan Özdenizci, Timm Meyer, Felix Wichmann +4
Stroke-induced disturbances of large-scale cortical networks are known to be associated with the extent of motor deficits. We argue that identifying brain networks representative o…
Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing
Siavash Haghiri, Patricia Rubisch, Robert Geirhos +2
Traditionally, psychophysical experiments are conducted by repeated measurements on a few well-trained participants under well-controlled conditions, often resulting in, if done pr…