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Journal of Vision
|
November 3, 2017
Temporal evolution of the central fixation bias in scene viewing
Lars 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 time
Heiko 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 constancy
Alban Flachot, Arash Akbarinia, Heiko H Schütt, et al.
Elife
|
May 1, 2019
Image content is more important than Bouma's Law for scene metamers
Thomas Sa Wallis, Christina M Funke, Alexander S Ecker, et al.
Psychological Review
|
April 28, 2017
Likelihood-based parameter estimation and comparison of dynamical cognitive models
Heiko 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 humans
Thomas S A Wallis, Christina M Funke, Alexander S Ecker, et al.
Page
of 6
Search research articles
Search
Showing results (51-60 of 56) with videos related to
Sort By:
Page
of 6
You have reached the last page of results.
This site can display upto 56 results.
Journal of Vision
|
November 3, 2017
Temporal evolution of the central fixation bias in scene viewing
Lars 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 time
Heiko 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 constancy
Alban Flachot, Arash Akbarinia, Heiko H Schütt, et al.
Elife
|
May 1, 2019
Image content is more important than Bouma's Law for scene metamers
Thomas Sa Wallis, Christina M Funke, Alexander S Ecker, et al.
Psychological Review
|
April 28, 2017
Likelihood-based parameter estimation and comparison of dynamical cognitive models
Heiko 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 humans
Thomas S A Wallis, Christina M Funke, Alexander S Ecker, et al.
Page
of 6