Felix Wichmann

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	Toutes	Depuis 2016
Citations	7667	3571
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Coauteurs

Matthias BethgeTübingen University & Amazon ScholarAdresse e-mail validée de bethgelab.org
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedAdresse e-mail validée de tuebingen.mpg.de
Heiko SchüttPostDoc, NYU-CNS & Columbia-ZIAdresse e-mail validée de nyu.edu
Karl GegenfurtnerProfessor of Psychology, Giessen University, GermanyAdresse e-mail validée de psychol.uni-giessen.de
Robert GeirhosUniversity of Tübingen & International Max Planck Research School for Intelligent Systems (IMPRS-IS)Adresse e-mail validée de uni-tuebingen.de
Jeremy HillResearch Scientist, Burke Neurological Institute and Blythedale Children's HospitalAdresse e-mail validée de med.cornell.edu
Johan WagemansLaboratory of Experimental Psychology, University of Leuven (K.U. Leuven)Adresse e-mail validée de psy.kuleuven.be
Ralf EngbertExperimental and Biological Psychology, University of Potsdam, GermanyAdresse e-mail validée de uni-potsdam.de
Frank JäkelTU DarmstadtAdresse e-mail validée de psychologie.tu-darmstadt.de
Ingo FründCenter for Vision Research, York University, Toronto, ONAdresse e-mail validée de ingofruend.net
Jakob MackeMachine Learning in Science, Tübingen UniversityAdresse e-mail validée de uni-tuebingen.de
Marianne MaertensTU BerlinAdresse e-mail validée de tu-berlin.de
Thomas S.A. WallisAmazonAdresse e-mail validée de amazon.com
Simon BarthelméCNRS Research Fellow, Gipsa-labAdresse e-mail validée de gipsa-lab.fr
Robbe L T GorisAssistant Professor, University of Texas at AustinAdresse e-mail validée de utexas.edu
Marc O. ErnstUlm University, Appl. Cognitive PsychologyAdresse e-mail validée de uni-ulm.de

Felix Wichmann

Eberhard Karls Universität Tübingen

Adresse e-mail validée de uni-tuebingen.de - Page d'accueil

psychophysics vision visual perception human vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
The psychometric function: I. Fitting, sampling, and goodness of fit FA Wichmann, NJ Hill Perception & psychophysics 63 (8), 1293-1313, 2001	2255	2001
The psychometric function: II. Bootstrap-based confidence intervals and sampling FA Wichmann, NJ Hill Perception & psychophysics 63 (8), 1314-1329, 2001	876	2001
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	546	2018
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	303	2002
A nonparametric approach to bottom-up visual saliency W Kienzle, FA Wichmann, MO Franz, B Schölkopf Advances in neural information processing systems, 689-696, 2007	262	2007
Inference for psychometric functions in the presence of nonstationary behavior I Fründ, NV Haenel, FA Wichmann Journal of vision 11 (6), 16-16, 2011	242	2011
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	176	2009
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, 7538-7550, 2018	167	2018
Bayesian inference for psychometric functions M Kuss, F Jäkel, FA Wichmann Journal of Vision 5 (5), 8-8, 2005	148	2005
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	137	2016
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	134	2006
Quantifying the effect of intertrial dependence on perceptual decisions I Fründ, FA Wichmann, JH Macke Journal of vision 14 (7), 9-9, 2014	130	2014
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	126	2017
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	109	2005
Animal detection in natural scenes: critical features revisited FA Wichmann, J Drewes, P Rosas, KR Gegenfurtner Journal of Vision 10 (4), 6-6, 2010	102	2010
Phase noise and the classification of natural images FA Wichmann, DI Braun, KR Gegenfurtner Vision research 46 (8-9), 1520-1529, 2006	101	2006
Transcranial magnetic stimulation in the visual system. I. The psychophysics of visual suppression T Kammer, K Puls, H Strasburger, NJ Hill, FA Wichmann Experimental brain research 160 (1), 118-128, 2005	99	2005
Gender classification of human faces ABA Graf, FA Wichmann International Workshop on Biologically Motivated Computer Vision, 491-500, 2002	91	2002
Spatial statistics and attentional dynamics in scene viewing R Engbert, HA Trukenbrod, S Barthelmé, FA Wichmann Journal of vision 15 (1), 14-14, 2015	76	2015
How to find interesting locations in video: a spatiotemporal interest point detector learned from human eye movements W Kienzle, B Schölkopf, FA Wichmann, MO Franz Joint Pattern Recognition Symposium, 405-414, 2007	74	2007

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