Motion Representation Learning
Motion Representation Learning is a methodological framework within action recognition that focuses on extracting and modeling temporal dynamics from video data to distinguish human actions by learning discriminative features that encode motion patterns across consecutive frames.
1.1K
Publications
102.2K
Citations
3.2K
Authors
876
Institutions
Publications per year
2017–2026
719
Parents
1.1K
SlowFast Networks for Video Recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik et al. · 2019 · 3.6K citations
Recognizing human actions: A local SVM approach
2004 · 2.9K citations
A survey on vision-based human action recognition
Ronald Poppe · Image and Vision Computing · 2009 · 2.3K citations
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Institut national de recherche en sciences et technologies du numérique, France
11 publications · 4.1K citations
11
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11
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Inception Institute of Artificial Intelligence, United Arab Emirates
11 publications · 1.1K citations
10
h-index
1–5 of 3.2K
876

Chinese Academy of Sciences
Beijing, China
29 h-index
111 publications
17.3K citations
University of Chinese Academy of Sciences
Beijing, China
24 h-index
66 publications
12.2K citations

Peking University
Beijing, China
23 h-index
60 publications
5.7K citations
Tsinghua University
Beijing, China
22 h-index
61 publications
4K citations

Shanghai Jiao Tong University
Shanghai, China
21 h-index
89 publications
10.5K citations
University of California, Berkeley
Berkeley, United States
21 h-index
55 publications
16.9K citations
Google (United States)
Mountain View, United States
20 h-index
68 publications
5.7K citations
Carnegie Mellon University
Pittsburgh, United States
19 h-index
50 publications
4.4K citations
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Repository · 119 publications · 5K citations
36
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TPAMI · 25 publications · 8.2K citations
24
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24 publications · 1.3K citations
22
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TOG · 24 publications · 3K citations
22
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24 publications · 1.9K citations
21
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