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Matthias Kümmerer

Showing results (1-10 of 7) with videos related to

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Annual Review of Vision Science|July 7, 2023
Predicting Visual FixationsMatthias Kümmerer, Matthias Bethge
Frontiers in Psychology|May 27, 2024
Potsdam data set of eye movement on natural scenes (DAEMONS)Lisa Schwetlick, Matthias Kümmerer, Matthias Bethge, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 15, 2015
Information-theoretic model comparison unifies saliency metricsMatthias Kümmerer, Thomas S A Wallis, Matthias Bethge
Journal of Vision|April 26, 2022
DeepGaze III: Modeling free-viewing human scanpaths with deep learningMatthias Kümmerer, Matthias Bethge, Thomas S A Wallis
Cognition|May 4, 2021
There is no evidence that meaning maps capture semantic information relevant to gaze guidance: Reply to Henderson, Hayes, Peacock, and Rehrig (2021)Marek A Pedziwiatr, Matthias Kümmerer, Thomas S A Wallis, et al.
Cognition|October 23, 2020
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixationsMarek A Pedziwiatr, Matthias Kümmerer, Thomas S A Wallis, et al.
Journal of Vision|February 16, 2022
Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning mapsMarek A Pedziwiatr, Matthias Kümmerer, Thomas S A Wallis, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Annual Review of Vision Science|July 7, 2023
Predicting Visual FixationsMatthias Kümmerer, Matthias Bethge
Frontiers in Psychology|May 27, 2024
Potsdam data set of eye movement on natural scenes (DAEMONS)Lisa Schwetlick, Matthias Kümmerer, Matthias Bethge, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 15, 2015
Information-theoretic model comparison unifies saliency metricsMatthias Kümmerer, Thomas S A Wallis, Matthias Bethge
Journal of Vision|April 26, 2022
DeepGaze III: Modeling free-viewing human scanpaths with deep learningMatthias Kümmerer, Matthias Bethge, Thomas S A Wallis
Cognition|May 4, 2021
There is no evidence that meaning maps capture semantic information relevant to gaze guidance: Reply to Henderson, Hayes, Peacock, and Rehrig (2021)Marek A Pedziwiatr, Matthias Kümmerer, Thomas S A Wallis, et al.
Cognition|October 23, 2020
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixationsMarek A Pedziwiatr, Matthias Kümmerer, Thomas S A Wallis, et al.
Journal of Vision|February 16, 2022
Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning mapsMarek A Pedziwiatr, Matthias Kümmerer, Thomas S A Wallis, et al.
Pageof 1