| Generalisation in humans and deep neural networks R Geirhos, CRM Temme, J Rauber, HH Schütt, M Bethge, FA Wichmann arXiv preprint arXiv:1808.08750, 2018 | 283* | 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 | 153* | 2016 |
| An image-computable psychophysical spatial vision model HH Schütt, FA Wichmann Journal of vision 17 (12), 12-12, 2017 | 29 | 2017 |
| 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 | 21 | 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 | 19 | 2017 |
| Influence of initial fixation position in scene viewing LOM Rothkegel, HA Trukenbrod, HH Schütt, FA Wichmann, R Engbert Vision research 129, 33-49, 2016 | 14 | 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 | 12 | 2019 |
| Generalisation in humans and deep neural networks R Geirhos, CR Medina Temme, J Rauber, HH Schütt, M Bethge, ... Thirty-second Annual Conference on Neural Information Processing Systems …, 2019 | 9 | 2019 |
| 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 | 9 | 2019 |
| 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 | 9 | 2017 |
| Perception of light source distance from shading patterns HH Schütt, F Baier, RW Fleming Journal of vision 16 (3), 9-9, 2016 | 5 | 2016 |
| Comparing representational geometries using the unbiased distance correlation J Diedrichsen, E Berlot, M Mur, HH Schütt, N Kriegeskorte arXiv preprint arXiv:2007.02789, 2020 | 3 | 2020 |
| 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 | 2 | 2017 |
| Deep Neural Models for color discrimination and color constancy A Flachot, A Akbarinia, HH Schütt, RW Fleming, FA Wichmann, ... arXiv preprint arXiv:2012.14402, 2020 | | 2020 |
| 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 |
| Modelling Early Spatial Vision and Its Influence on Eye Movements in Natural Scenes HH Schütt Universitätsbibliothek Tübingen, 2018 | | 2018 |
| Corrections to: An image-computable psychophysical spatial HH Schütt, FA Wichmann | | 2018 |
Ralf EngbertExperimental and Biological Psychology, University of Potsdam, GermanyAdresse e-mail validée de uni-potsdam.de
