Crowd Representation
Crowd Representation is a computational modeling approach that distinguishes itself within the category of group portrait analysis by formally encoding the collective visual, spatial, and semantic patterns of aggregated individuals in unconstrained environments to enable higher-level inference about group dynamics, structure, and behavior.
265
Publications
15.6K
Citations
752
Authors
300
Institutions
Publications per year
2017–2026
106
Parents
265
Daniel Jackson · ACM Transactions on Software Engineering and Methodology · 2002 · 1.2K citations
Wei‐Shi Zheng, Shaogang Gong, Tao Xiang · 2009 · 464 citations
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300

Trinity College Dublin
Dublin, Ireland
13 h-index
45 publications
2.5K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
18 publications
818 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
8 h-index
22 publications
1.5K citations

Harbin Institute of Technology
Harbin, China
8 h-index
27 publications
956 citations

Shanghai Jiao Tong University
Shanghai, China
7 h-index
21 publications
1.3K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
18 publications
2.8K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
6 h-index
14 publications
1.7K citations
Nanyang Technological University
Singapore, Singapore
6 h-index
13 publications
475 citations
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Repository · 7 publications · 191 citations
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7 publications · 389 citations
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7 publications · 267 citations
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TOG · 6 publications · 617 citations
6
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4 publications · 188 citations
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