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Felix Wichmann
Felix Wichmann
Eberhard Karls Universität Tübingen
Bestätigte E-Mail-Adresse bei uni-tuebingen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
R Geirhos, P Rubisch, C Michaelis, M Bethge, FA Wichmann, W Brendel
arXiv preprint arXiv:1811.12231, 2018
31802018
The psychometric function: I. Fitting, sampling, and goodness of fit
FA Wichmann, NJ Hill
Perception & psychophysics 63 (8), 1293-1313, 2001
28162001
Shortcut learning in deep neural networks
R Geirhos, JH Jacobsen, C Michaelis, R Zemel, W Brendel, M Bethge, ...
Nature Machine Intelligence 2 (11), 665-673, 2020
20912020
The psychometric function: II. Bootstrap-based confidence intervals and sampling
FA Wichmann, NJ Hill
Perception & psychophysics 63, 1314-1329, 2001
9922001
Generalisation in humans and deep neural networks
R Geirhos, CRM Temme, J Rauber, HH Schütt, M Bethge, FA Wichmann
Advances in neural information processing systems 31, 2018
7432018
The contributions of color to recognition memory for natural scenes.
FA Wichmann, LT Sharpe, KR Gegenfurtner
Journal of Experimental Psychology: Learning, Memory, and Cognition 28 (3), 509, 2002
4112002
Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data
HH Schütt, S Harmeling, JH Macke, FA Wichmann
Vision research 122, 105-123, 2016
3832016
Comparing deep neural networks against humans: object recognition when the signal gets weaker
R Geirhos, DHJ Janssen, HH Schütt, J Rauber, M Bethge, FA Wichmann
arXiv preprint arXiv:1706.06969, 2017
3162017
Inference for psychometric functions in the presence of nonstationary behavior
I Fründ, NV Haenel, FA Wichmann
Journal of vision 11 (6), 16-16, 2011
3062011
A nonparametric approach to bottom-up visual saliency
W Kienzle, FA Wichmann, M Franz, B Schölkopf
Advances in neural information processing systems 19, 2006
2682006
Partial success in closing the gap between human and machine vision
R Geirhos, K Narayanappa, B Mitzkus, T Thieringer, M Bethge, ...
Advances in Neural Information Processing Systems 34, 23885-23899, 2021
2482021
Quantifying the effect of intertrial dependence on perceptual decisions
I Fründ, FA Wichmann, JH Macke
Journal of vision 14 (7), 9-9, 2014
2132014
Bayesian inference for psychometric functions
M Kuss, F Jäkel, FA Wichmann
Journal of Vision 5 (5), 8-8, 2005
1922005
Center-surround patterns emerge as optimal predictors for human saccade targets
W Kienzle, MO Franz, B Schölkopf, FA Wichmann
Journal of vision 9 (5), 7-7, 2009
1882009
Spatial four-alternative forced-choice method is the preferred psychophysical method for naïve observers
F Jäkel, FA Wichmann
Journal of vision 6 (11), 13-13, 2006
1692006
Texture and haptic cues in slant discrimination: reliability-based cue weighting without statistically optimal cue combination
P Rosas, J Wagemans, MO Ernst, FA Wichmann
JOSA A 22 (5), 801-809, 2005
1372005
Animal detection in natural scenes: Critical features revisited
FA Wichmann, J Drewes, P Rosas, KR Gegenfurtner
Journal of Vision 10 (4), 6-6, 2010
1332010
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
R Geirhos, K Meding, FA Wichmann
Advances in Neural Information Processing Systems 33, 13890-13902, 2020
1282020
Phase noise and the classification of natural images
FA Wichmann, DI Braun, KR Gegenfurtner
Vision research 46 (8-9), 1520-1529, 2006
1182006
Spatial statistics and attentional dynamics in scene viewing
R Engbert, HA Trukenbrod, S Barthelmé, FA Wichmann
Journal of vision 15 (1), 14-14, 2015
1112015
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