Graph-Based Action Representation is an action representation framework that structurally models actions as nodes and their relational dependencies as edges within a graph formalism to capture hierarchical, temporal, or semantic structures inherent in action execution.
76
Publications
7.5K
Citations
224
Authors
100
Institutions
Publications per year
2017–2026
47
Parents
Publications
76
Action recognition based on a bag of 3D points
Wanqing Li, Zhengyou Zhang, Zicheng Liu · 2010 · 1.4K citations
Graph Convolutional Networks for Temporal Action Localization
Runhao Zeng, Wenbing Huang, Chuang Gan et al. · 2019 · 560 citations
Actions Sketch: A Novel Action Representation
Mubarak Shah · 2005 · 420 citations · Full text
1–5 of 76
Authors
224
- IS
3
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- JH
3
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- RZ
3
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- PZ
3
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- MT
3
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1–5 of 224
Institutions
100
Chinese Academy of Sciences
Beijing, China
7 h-index
23 publications
6.9K citations
Sun Yat-sen University
Guangzhou, China
6 h-index
20 publications
586 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
11 publications
3.4K citations
Institute of Automation
Beijing, China
4 h-index
11 publications
1.7K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
925 citations
South China University of Technology
Guangzhou, China
3 h-index
9 publications
2K citations
University of Brescia
Brescia, Italy
3 h-index
10 publications
1.1K citations
Xi'an Jiaotong University
Xi'an, China
3 h-index
8 publications
229 citations
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Venues
- arXiv (Cornell University)
Repository · 9 publications · 346 citations
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- IEEE Transactions on Circuits and Systems for Video Technology
4 publications · 259 citations
4
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 4 publications · 655 citations
4
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- IEEE Transactions on Neural Networks and Learning Systems
2 publications · 456 citations
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- IEEE Transactions on Multimedia
2 publications · 64 citations
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