Motion Parsing
Motion Parsing is a computational framework that segments and interprets complex visual motion signals into distinct, meaningful components by attributing specific motion patterns to their most likely sources within a dynamic scene.
54
Publications
2.9K
Citations
147
Authors
79
Institutions
Publications per year
2017–2026
10
Parents
54
Automatic parsing of TV soccer programs
Yihong Gong, Lim Teck Sin, Chua Hock Chuan et al. · 2002 · 320 citations
Conditional models for contextual human motion recognition
Cristian Sminchisescu, Atul Kanaujia, Zhiguo Li et al. · 2005 · 286 citations
1–5 of 54
147
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1–5 of 147
79
Nanyang Technological University
Singapore, Singapore
5 h-index
10 publications
1.2K citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
6 publications
278 citations
National University of Singapore
Singapore, Singapore
3 h-index
9 publications
805 citations
Boston University
Boston, United States
2 h-index
6 publications
132 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
5 publications
184 citations
University of Maryland, College Park
College Park, United States
2 h-index
4 publications
182 citations
Institute of Automation
Beijing, China
2 h-index
8 publications
331 citations

University of Manchester
Manchester, United Kingdom
2 h-index
3 publications
74 citations
1–8 of 79
3 publications · 148 citations
3
h-index
3 publications · 160 citations
3
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TPAMI · 2 publications · 78 citations
2
h-index
2 publications · 59 citations
2
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1 publications · 35 citations
2
h-index
1–5