Cross-dataset Action Recognition
Cross-Dataset Action Recognition is a subtask of action recognition that involves training a model on one dataset and evaluating its performance on another dataset with different characteristics, thereby assessing the model's generalization capability across diverse data distributions, acquisition settings, or annotation protocols.
62
Publications
6.6K
Citations
216
Authors
102
Institutions
Publications per year
2017–2026
43
Parents
62
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng et al. · 2016 · 2.9K citations
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng et al. · arXiv (Cornell University) · 2016 · 376 citations · Full text
Cross-dataset action detection
Liangliang Cao, Zicheng Liu, Thomas S. Huang · 2010 · 212 citations
1–5 of 62
102
Nanyang Technological University
Singapore, Singapore
4 h-index
7 publications
9.1K citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
493 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
18 publications
693 citations
Tianjin University
Tianjin, China
3 h-index
9 publications
601 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
348 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
5 publications
307 citations
Rochester Institute of Technology
Rochester, United States
2 h-index
2 publications
62 citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
288 citations
1–8 of 102
TPAMI · 4 publications · 160 citations
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Repository · 4 publications · 421 citations
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3 publications · 291 citations
3
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3 publications · 57 citations
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2 publications · 86 citations
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