Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Seoyoung Ahn"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Attention control is a basic behavioral process that has been studied for decades. The currently best models of attention control are deep networks trained on free-viewing behavior to predict bottom-up attention control – saliency. We intr
Externí odkaz:
https://doaj.org/article/2a4346091b884f6db7395c2b18c34b46
Autor:
Paul Prasse, David Robert Reich, Silvia Makowski, Seoyoung Ahn, Tobias Scheffer, Lena A. Jäger
Publikováno v:
2023 Symposium on Eye Tracking Research and Applications.
Autor:
Yupei Chen, Zhibo Yang, Souradeep Chakraborty, Sounak Mondal, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory Zelinsky
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Publikováno v:
Journal of Vision. 23:16
The visual system uses sequences of selective glimpses to objects to support goal-directed behavior, but how is this attention control learned? Here we present an encoder-decoder model inspired by the interacting bottom-up and top-down visual pathway
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbc7351328ec75e172191423478153d6
https://doi.org/10.1101/2022.04.02.486850
https://doi.org/10.1101/2022.04.02.486850
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8a604265663742609f694a38c553a24
https://doi.org/10.1007/978-3-031-19772-7_4
https://doi.org/10.1007/978-3-031-19772-7_4
Publikováno v:
2022 Conference on Cognitive Computational Neuroscience.
Publikováno v:
2022 Conference on Cognitive Computational Neuroscience.
Publikováno v:
Journal of Vision. 22:3692
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Attention control is a basic behavioral process that has been studied for decades. The currently best models of attention control are deep networks trained on free-viewing behavior to predict bottom-up attention control – saliency. We introduce COC