Heiko Schütt

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Felix WichmannEberhard Karls Universität TübingenPreverjeni e-poštni naslov na uni-tuebingen.de
Robert GeirhosResearch Scientist, Google DeepMindPreverjeni e-poštni naslov na google.com
Matthias BethgeTübingen University & Maddox Co-FounderPreverjeni e-poštni naslov na bethgelab.org
Ralf EngbertExperimental and Biological Psychology, University of Potsdam, GermanyPreverjeni e-poštni naslov na uni-potsdam.de
Carlos Roberto Medina TemmeSwiss Federal Institute of Technology Lausanne, EPFLPreverjeni e-poštni naslov na epfl.ch
Jonas RauberUniversity of Tübingen & Max Planck Research School for Intelligent SystemsPreverjeni e-poštni naslov na uni-tuebingen.de
Lars RothkegelPost-Doc at the department of clinical psychology, University of PotsdamPreverjeni e-poštni naslov na uni-potsdam.de
Stefan HarmelingProfessor at Technische Universität DortmundPreverjeni e-poštni naslov na tu-dortmund.de
Nikolaus KriegeskorteProfessor of Psychology and Neuroscience, Columbia UniversityPreverjeni e-poštni naslov na columbia.edu
Jakob MackeMachine Learning in Science, Tübingen UniversityPreverjeni e-poštni naslov na uni-tuebingen.de
Wei Ji MaProfessor of Neuroscience and Psychology at New York UniversityPreverjeni e-poštni naslov na nyu.edu
Jörn DiedrichsenWestern University, CanadaPreverjeni e-poštni naslov na uwo.ca
Roland FlemingKurt Koffka Professor of Experimental Psychology, University of GiessenPreverjeni e-poštni naslov na psychol.uni-giessen.de
Marieke MurWestern UniversityPreverjeni e-poštni naslov na uwo.ca
Eva BerlotRadboud University NijmegenPreverjeni e-poštni naslov na donders.ru.nl
Alban FlachotPostdoc York UniversityPreverjeni e-poštni naslov na yorku.ca
Karl GegenfurtnerProfessor of Psychology, Giessen University, GermanyPreverjeni e-poštni naslov na psychol.uni-giessen.de
Sebastian ReichUniversity of PotsdamPreverjeni e-poštni naslov na uni-potsdam.de
Mahdiyar ShahbaziHarvard UniversityPreverjeni e-poštni naslov na g.harvard.edu
Tal GolanBen-Gurion University of the NegevPreverjeni e-poštni naslov na bgu.ac.il

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Heiko Schütt

Associate Professor, University of Luxembourg

Preverjeni e-poštni naslov na uni.lu

Visual Perception Quantitative Models


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	1072*	2018
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	437*	2016
Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over time HH Schütt, LOM Rothkegel, HA Trukenbrod, R Engbert, FA Wichmann Journal of vision 19 (3), 1-1, 2019	56	2019
Likelihood-based parameter estimation and comparison of dynamical cognitive models. HH Schütt, LOM Rothkegel, HA Trukenbrod, S Reich, FA Wichmann, ... Psychological review 124 (4), 505, 2017	52	2017
Comparing representational geometries using whitened unbiased-distance-matrix similarity J Diedrichsen, E Berlot, M Mur, HH Schütt, M Shahbazi, N Kriegeskorte arXiv preprint arXiv:2007.02789, 2020	51*	2020
An image-computable psychophysical spatial vision model HH Schütt, FA Wichmann Journal of vision 17 (12), 12-12, 2017	43	2017
Temporal evolution of the central fixation bias in scene viewing LOM Rothkegel, HA Trukenbrod, HH Schütt, FA Wichmann, R Engbert Journal of Vision 17 (13), 3-3, 2017	40	2017
Advances in neural information processing systems R Geirhos, CRM Temme, J Rauber, HH Schütt, M Bethge, FA Wichmann, ... Curran Associates, Red Hook, NY 31, 7549-7561, 2018	31	2018
Statistical inference on representational geometries HH Schütt, AD Kipnis, J Diedrichsen, N Kriegeskorte Elife 12, e82566, 2023	30	2023
Methods and measurements to compare men against machines FA Wichmann, DHJ Janssen, R Geirhos, G Aguilar, HH Schütt, ... Electronic Imaging 29, 36-45, 2017	28	2017
Deep neural models for color classification and color constancy A Flachot, A Akbarinia, HH Schütt, RW Fleming, FA Wichmann, ... Journal of Vision 22 (4), 17-17, 2022	25	2022
Influence of initial fixation position in scene viewing LOM Rothkegel, HA Trukenbrod, HH Schütt, FA Wichmann, R Engbert Vision research 129, 33-49, 2016	22	2016
Searchers adjust their eye-movement dynamics to target characteristics in natural scenes LOM Rothkegel, HH Schütt, HA Trukenbrod, FA Wichmann, R Engbert Scientific reports 9 (1), 1635, 2019	19	2019
Generalisation in humans and deep neural networks. arXiv R Geirhos, CRM Temme, J Rauber, HH Schütt, M Bethge, FA Wichmann arxiv, 1808	18	1808
Comparing deep neural networks against humans: Object recognition when the signal gets weaker. arXiv 2017 R Geirhos, DHJ Janssen, HH Schütt, J Rauber, M Bethge, FA Wichmann arXiv preprint arXiv:1706.06969, 2018	16	2018
Using deep neural networks as a guide for modeling human planning I Kuperwajs, HH Schütt, WJ Ma Scientific reports 13 (1), 20269, 2023	15	2023
Comparing deep neural networks against humans: object recognition when the signal gets weaker (2017) R Geirhos, DHJ Janssen, HH Schütt, J Rauber, M Bethge, FA Wichmann arXiv preprint arXiv:1706.06969, 0	10
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments T Golan, W Guo, HH Schütt, N Kriegeskorte arXiv preprint arXiv:2211.15053, 2022	8	2022
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses T Golan, JM Taylor, H Schütt, B Peters, RP Sommers, K Seeliger, ... Behavioral and Brain Sciences 46, 2023	7	2023
Perception of light source distance from shading patterns HH Schuett, F Baier, RW Fleming Journal of Vision 16 (3), 9-9, 2016	7	2016

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