Auflistung 7 Mathematisch-Naturwissenschaftliche Fakultät nach Autor "Wallis, Thomas S. A."

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A parametric texture model based on deep convolutional features closely matches texture appearance for humans

Wallis, Thomas S. A.; Funke, Christina M.; Ecker, Alexander; Gatys, Leon Alexander; Wichmann, Felix A.; Bethge, Matthias (2017)
Detecting distortions of peripherally presented letter stimuli under crowded conditions

Wallis, Thomas S. A.; Tobias, Saskia; Bethge, Matthias; Wichmann, Felix A. (2017)
Five points to check when comparing visual perception in humans and machines

Funke, Christina M.; Borowski, Judy; Stosio, Karolina; Brendel, Wieland; Wallis, Thomas S. A.; Bethge, Matthias (2021)
How close are we to understanding image-based saliency?

Bethge, Matthias; Kümmerer, Matthias; Wallis, Thomas (2014)
Image content is more important than Bouma’s Law for scene metamers

Wallis, Thomas S. A.; Funke, Christina M.; Ecker, Alexander S.; Gatys, Leon A.; Wichmann, Felix A.; Bethge, Matthias (2019)
Information-theoretic model comparison unifies saliency metrics

Kuemmerer, Matthias; Wallis, Thomas S. A.; Bethge, Matthias (2015)
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations

Pedziwiatr, Marek A.; Kuemmerer, Matthias; Wallis, Thomas S. A.; Bethge, Matthias; Teufel, Christoph (2021)
Testing models of peripheral encoding using metamerism in an oddity paradigm

Wallis, Thomas S. A.; Bethge, Matthias; Wichmann, Felix A. (2016)

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