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A Wichmann

Showing results (71-80 of 101) with videos related to

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Frontiers in Psychology|June 1, 2016
BOiS-Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual PriorsJohannes Mohr, Julia Seyfarth, Andreas Lueschow, et al.
Vision Research|November 7, 2016
Influence of initial fixation position in scene viewingLars O M Rothkegel, Hans A Trukenbrod, Heiko H Schütt, et al.
Scientific Reports|February 9, 2019
Searchers adjust their eye-movement dynamics to target characteristics in natural scenesLars O M Rothkegel, Heiko H Schütt, Hans A Trukenbrod, et al.
Journal of Vision|November 3, 2017
Temporal evolution of the central fixation bias in scene viewingLars O M Rothkegel, Hans A Trukenbrod, Heiko H Schütt, et al.
Journal of Vision|March 2, 2019
Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over timeHeiko H Schütt, Lars O M Rothkegel, Hans A Trukenbrod, et al.
Journal of Vision|March 30, 2022
Deep neural models for color classification and color constancyAlban Flachot, Arash Akbarinia, Heiko H Schütt, et al.
Frontiers in Microbiology|April 21, 2018
Role of microRNAs and Exosomes in <i>Helicobacter pylori</i> and Epstein-Barr Virus Associated Gastric CancersIva Polakovicova, Sofia Jerez, Ignacio A Wichmann, et al.
Elife|May 1, 2019
Image content is more important than Bouma's Law for scene metamersThomas Sa Wallis, Christina M Funke, Alexander S Ecker, et al.
Psychological Review|April 28, 2017
Likelihood-based parameter estimation and comparison of dynamical cognitive modelsHeiko H Schütt, Lars O M Rothkegel, Hans A Trukenbrod, et al.
Journal of Vision|October 7, 2017
A parametric texture model based on deep convolutional features closely matches texture appearance for humansThomas S A Wallis, Christina M Funke, Alexander S Ecker, et al.
Pageof 11

Showing results (71-80 of 101) with videos related to

Sort By:
Pageof 11
Frontiers in Psychology|June 1, 2016
BOiS-Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual PriorsJohannes Mohr, Julia Seyfarth, Andreas Lueschow, et al.
Vision Research|November 7, 2016
Influence of initial fixation position in scene viewingLars O M Rothkegel, Hans A Trukenbrod, Heiko H Schütt, et al.
Scientific Reports|February 9, 2019
Searchers adjust their eye-movement dynamics to target characteristics in natural scenesLars O M Rothkegel, Heiko H Schütt, Hans A Trukenbrod, et al.
Journal of Vision|November 3, 2017
Temporal evolution of the central fixation bias in scene viewingLars O M Rothkegel, Hans A Trukenbrod, Heiko H Schütt, et al.
Journal of Vision|March 2, 2019
Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over timeHeiko H Schütt, Lars O M Rothkegel, Hans A Trukenbrod, et al.
Journal of Vision|March 30, 2022
Deep neural models for color classification and color constancyAlban Flachot, Arash Akbarinia, Heiko H Schütt, et al.
Frontiers in Microbiology|April 21, 2018
Role of microRNAs and Exosomes in <i>Helicobacter pylori</i> and Epstein-Barr Virus Associated Gastric CancersIva Polakovicova, Sofia Jerez, Ignacio A Wichmann, et al.
Elife|May 1, 2019
Image content is more important than Bouma's Law for scene metamersThomas Sa Wallis, Christina M Funke, Alexander S Ecker, et al.
Psychological Review|April 28, 2017
Likelihood-based parameter estimation and comparison of dynamical cognitive modelsHeiko H Schütt, Lars O M Rothkegel, Hans A Trukenbrod, et al.
Journal of Vision|October 7, 2017
A parametric texture model based on deep convolutional features closely matches texture appearance for humansThomas S A Wallis, Christina M Funke, Alexander S Ecker, et al.
Pageof 11