Visual Temporal Selectivity is a computational mechanism in dynamic vision models that selectively weights temporally relevant visual information over time, distinguishing itself from general spatiotemporal attention by focusing specifically on the temporal dimension of visual input sequences.
275
Publications
23K
Citations
672
Authors
305
Institutions
Publications per year
2017–2026
18
Parents
Publications
275
1–5 of 275
Authors
672
- RF
5
h-index
- CWCharles W. Eriksen
University of Illinois Urbana-Champaign, United States
5 publications · 1.4K citations
5
h-index
- JR
4
h-index
- RFRanxiao Frances Wang
University of Illinois Urbana-Champaign, United States
4 publications · 255 citations
4
h-index
- AN
4
h-index
1–5 of 672
Institutions
305
Centre National de la Recherche Scientifique
Paris, France
10 h-index
30 publications
2.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
19 publications
2.2K citations
University of Oxford
Oxford, United Kingdom
9 h-index
23 publications
2.2K citations
University College London
London, United Kingdom
8 h-index
11 publications
767 citations
University of California, Berkeley
Berkeley, United States
7 h-index
11 publications
599 citations
University of Birmingham
Birmingham, United Kingdom
6 h-index
8 publications
227 citations
Utrecht University
Utrecht, The Netherlands
5 h-index
12 publications
306 citations
Harvard University
Cambridge, United States
5 h-index
11 publications
1.7K citations
1–8 of 305
Venues
- Vision Research
52 publications · 4.3K citations
32
h-index
- Perception & Psychophysics
20 publications · 2.9K citations
15
h-index
- Journal of Experimental Psychology Human Perception & Performance
11 publications · 1.2K citations
11
h-index
- NeuroImage
10 publications · 487 citations
10
h-index
- Biological Cybernetics
9 publications · 340 citations
9
h-index
1–5