activity
20192021
most citedPartial success in closing the gap between human and machine vision

63 citations · 66 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV202163 cited

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…

cs.CV20203 cited

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…

cs.LG2019

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…

q-bio.NC2019

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…

cs.LG2019

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…