Felix A. Wichmann

Affiliations: 
Eberhard Karls Universität Tübingen, Tübingen, Baden-Württemberg, Germany 
Area:
Psychophysics, Vision, Statistics, Computational Modelling
Website:
http://www.wichmannlab.org
Google:
"Felix Wichmann"
Mean distance: 13.4 (cluster 29)
 
SNBCP
Cross-listing: PsychTree

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Publications

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Wichmann FA, Kornblith S, Geirhos R. (2023) Neither hype nor gloom do DNNs justice. The Behavioral and Brain Sciences. 46: e412
Huber LS, Geirhos R, Wichmann FA. (2023) The developmental trajectory of object recognition robustness: Children are like small adults but unlike big deep neural networks. Journal of Vision. 23: 4
Wichmann FA, Geirhos R. (2023) Are Deep Neural Networks Adequate Behavioral Models of Human Visual Perception? Annual Review of Vision Science
Flachot A, Akbarinia A, Schütt HH, et al. (2022) Deep neural models for color classification and color constancy. Journal of Vision. 22: 17
Haghiri S, Wichmann FA, von Luxburg U. (2020) Estimation of perceptual scales using ordinal embedding. Journal of Vision. 20: 14
Meding K, Bruijns SA, Schölkopf B, et al. (2020) Phenomenal Causality and Sensory Realism. I-Perception. 11: 2041669520927038
Wallis TSA, Tobias S, Bethge M, et al. (2019) Correction to: Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception & Psychophysics
Trukenbrod HA, Barthelmé S, Wichmann FA, et al. (2019) Spatial statistics for gaze patterns in scene viewing: Effects of repeated viewing. Journal of Vision. 19: 5
Wallis TS, Funke CM, Ecker AS, et al. (2019) Image content is more important than Bouma's Law for scene metamers. Elife. 8
Schütt HH, Rothkegel LOM, Trukenbrod HA, et al. (2019) Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over time. Journal of Vision. 19: 1
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