Matthias Kümmerer - Dokumente zum Namen

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Alle Infos zum Namen "Matthias Kümmerer"

SaltiNet: The Temporal Dimension of Visual Attention Models

de.slideshare.net

https://imatge.upc.edu/web/publications/saltinet-scan-path-prediction-360-degree-images-using-saliency-volumes We introduce SaltiNet, a deep neural network for…

DeepGaze IIE: Calibrated prediction in and out-of-domain for ...

arxiv.org

von A Linardos · · Zitiert von: 1 — DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. Authors:Akis Linardos, Matthias Kümmerer, Ori ... von M Tangemann · — Authors:Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, ... › cs

[ ] DeepGaze II: Reading fixations from deep features...

arxiv.org

From: Matthias Kümmerer [view email] [v1] Wed, 5 Oct :47:28 UTC (6,619 KB). Which authors of this paper are endorsers? | Disable ...

Using Deep Features to Predict Where People Look

docs.lib.purdue.edu

von M Kümmerer · — Author List. Matthias Kümmerer, Centre for Integrative Neuroscience, TübingenFollow · Matthias Bethge, University of TuebingenFollow ... › modvis

[ ] How close are we to understanding image-based saliency?

arxiv.org

References & Citations. NASA ADS · DBLP - CS Bibliography. listing | bibtex · Matthias Kümmerer · Thomas Wallis · Matthias Bethge. Bookmark.

Predicting Fixations From Deep and Low-Level Featuresdocs.lib.purdue.edu › modvis › session05

docs.lib.purdue.edu

Matthias Kümmerer, Centre for Integrative Neuroscience, TübingenFollow · Thomas S.A. Wallis, Centre for Integrative Neuroscience, TübingenFollow

[ ] State-of-the-Art in Human Scanpath Prediction

arxiv.org

· Submission history. From: Matthias Kümmerer [view email] [v1] Wed, 24 Feb :01:28 UTC (3,541 KB). Full-text links: ...

SciPy Release Notes — SciPy v Reference Guide

docs.scipy.org

... Alain Leufroy +; George Lewis +; Max Linke +; Brandon Liu +; Benny Malengier +; Matthias Kümmerer +; Cimarron Mittelsteadt +; Eric Moore ...

[ ] Saliency Benchmarking Made Easy: Separating Models, Maps...

arxiv.org

From: Matthias Kümmerer [view email] [v1] Thu, 27 Apr :07:42 GMT (1273kb,D). Which authors of this paper are endorsers? | Disable MathJax (What is ...

Purdue e-Pubs - MODVIS Workshop: Selecting Maximally-Predictive Deep...

docs.lib.purdue.edu

By Matthias Kümmerer, Thomas S.A. Wallis, and Matthias Bethge, Published on

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Dokumente zum Namen Matthias Kümmerer