Zobrazeno 1 - 10 of 21 pro vyhledávání: '"Matthias, Kümmerer"'
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DeepGaze III: Modeling free-viewing human scanpaths with deep learning
Autor: Matthias, Kümmerer, Matthias, Bethge, Thomas S A, Wallis
Publikováno v: Journal of vision. 22(5)
Humans typically move their eyes in "scanpaths" of fixations linked by saccades. Here we present DeepGaze III, a new model that predicts the spatial location of consecutive fixations in a free-viewing scanpath over static images. DeepGaze III is a de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::61eb96e9e67a3833a6e67dd8879694f0
https://pubmed.ncbi.nlm.nih.gov/35472130
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5
There is no evidence that meaning maps capture semantic information relevant to gaze guidance: Reply to Henderson, Hayes, Peacock, and Rehrig (2021)
Autor: Thomas S. A. Wallis, Matthias Bethge, Marek A. Pedziwiatr, Matthias Kümmerer, Christoph Teufel
The concerns raised by Henderson, Hayes, Peacock, and Rehrig (2021) are based on misconceptions of our work. We show that Meaning Maps (MMs) do not predict gaze guidance better than a state-of-the-art saliency model that is based on semantically-neut
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e61d3b59d1364db04a8537328033d7
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6
Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps
Autor: Marek A. Pedziwiatr, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge, Christoph Teufel
Semantic information is important in eye-movement control. An important semantic influence on gaze guidance relates to object-scene relationships: objects that are semantically inconsistent with the scene attract more fixations than consistent object
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::391b57915c2134e0942b79059f7cb39a
https://doi.org/10.1101/2021.05.03.442533
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7
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations
Autor: Matthias Kümmerer, Matthias Bethge, Marek A. Pedziwiatr, Christoph Teufel, Thomas S. A. Wallis
Eye movements are vital for human vision, and it is therefore important to understand how observers decide where to look. Meaning maps (MMs), a technique to capture the distribution of semantic importance across an image, have recently been proposed
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9d346066ed91aba3d64520ff432ae31
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10
Measuring the Importance of Temporal Features in Video Saliency
Autor: Matthias Bethge, Thomas S. A. Wallis, Matthias Kümmerer, Matthias Tangemann
Publikováno v: Computer Vision – ECCV 2020 ISBN: 9783030586034
ECCV (28)
Where people look when watching videos is believed to be heavily influenced by temporal patterns. In this work, we test this assumption by quantifying to which extent gaze on recent video saliency benchmarks can be predicted by a static baseline mode
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34984902e2255d68838a168512c7c584
https://doi.org/10.1007/978-3-030-58604-1_40
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