Heiko Schütt
Heiko Schütt
PostDoc, NYU-CNS & Columbia-ZI
Verified email at nyu.edu
Title
Cited by
Cited by
Year
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, 7538-7550, 2018
253*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
139*2016
An image-computable psychophysical spatial vision model
HH Schütt, FA Wichmann
Journal of vision 17 (12), 12-12, 2017
232017
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
182017
Likelihood-based parameter estimation and comparison of dynamical cognitive models.
HH Schuett, LOM Rothkegel, HA Trukenbrod, S Reich, FA Wichmann, ...
Psychological Review 124 (4), 505, 2017
182017
Influence of initial fixation position in scene viewing
LOM Rothkegel, HA Trukenbrod, HH Schütt, FA Wichmann, R Engbert
Vision research 129, 33-49, 2016
132016
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
112019
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), 1-12, 2019
72019
Methods and measurements to compare men against machines
FA Wichmann, DHJ Janssen, R Geirhos, G Aguilar, HH Schütt, ...
Electronic Imaging 2017 (14), 36-45, 2017
72017
Perception of light source distance from shading patterns
HH Schütt, F Baier, RW Fleming
Journal of Vision 16 (3), 9-9, 2016
52016
Comparing representational geometries using the unbiased distance correlation
J Diedrichsen, E Berlot, M Mur, HH Schütt, N Kriegeskorte
arXiv preprint arXiv:2007.02789, 2020
12020
Of human observers and deep neural networks: A detailed psychophysical comparison
R Geirhos, D Janssen, H Schütt, M Bethge, F Wichmann
Journal of Vision 17 (10), 806-806, 2017
12017
A divisive model of midget and parasol ganglion cells explains the contrast sensitivity function
HH Schütt, FA Wichmann
Journal of Vision 19 (10), 79a-79a, 2019
2019
Color Constancy in Deep Neural Networks
AC Flachot, HH Schuett, RW Fleming, F Wichmann, KR Gegenfurtner
Journal of Vision 19 (10), 298-298, 2019
2019
Modelling Early Influences on Visual Perception
F Wichmann, H Schuett
PERCEPTION 48, 8-8, 2019
2019
Predicting fixation densities over time from early visual processing
H Schütt, L Rothkegel, H Trukenbrod, R Engbert, F Wichmann
Journal of Vision 18 (10), 1210-1210, 2018
2018
Corrections to: An image-computable psychophysical spatial
HH Schütt, FA Wichmann
2018
Predicting the fixation density over time
HH Schütt, LOM Rothkegel, HA Trukenbrod, R Engbert, FA Wichmann
2018
We know what we can see-peripheral visibility of search targets shapes eye movement behavior in natural scenes
L Rothkegel, H Schütt, H Trukenbrod, F Wichmann, R Engbert
Journal of Vision 17 (10), 1120-1120, 2017
2017
Some observations on the psychophysics of Deep Neural Networks
D Janssen, H Schuett, F Wichmann
Journal of Vision 16 (12), 963-963, 2016
2016
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Articles 1–20