Temporal Attention
Temporal Attention is a cognitive mechanism within the domain of visual attention that selectively prioritizes specific moments in time for enhanced processing, distinguishing it from spatial or feature-based attentional mechanisms by its temporal locus of selection.
1.6K
Publications
129.1K
Citations
4.6K
Authors
1.2K
Institutions
Publications per year
2017–2026
774
1.6K
Attention mechanisms in computer vision: A survey
Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu et al. · Computational Visual Media · 2022 · 2.4K citations · Full text
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Yao Qin, Dongjin Song, Haifeng Chen et al. · 2017 · 1.4K citations · Full text
Computing, Data Science, Forecasting +11
1–5 of 1.6K
4.6K
20
h-index
18
h-index
11
h-index
11
h-index
10
h-index
1–5 of 4.6K
1.2K
University of Oxford
Oxford, United Kingdom
33 h-index
114 publications
14K citations

Chinese Academy of Sciences
Beijing, China
30 h-index
107 publications
10.4K citations

Centre National de la Recherche Scientifique
Paris, France
24 h-index
66 publications
5.3K citations
University of Chinese Academy of Sciences
Beijing, China
24 h-index
80 publications
9.6K citations

Peking University
Beijing, China
22 h-index
59 publications
6.7K citations

Beihang University
Beijing, China
21 h-index
79 publications
8.3K citations
University of Science and Technology of China
Hefei, China
19 h-index
62 publications
7.1K citations
New York University
New York, United States
18 h-index
47 publications
2.6K citations
1–8 of 1.2K
66 publications · 5.4K citations
38
h-index
46 publications · 6.8K citations
35
h-index
Repository · 71 publications · 5.9K citations
35
h-index
26 publications · 2.5K citations
23
h-index
34 publications · 1.7K citations
23
h-index
1–5