Occlusion Segmentation
Occlusion Segmentation is a computational method in computer vision that identifies and delineates the visible regions of objects in an image by distinguishing occluded from non-occluded segments through spatial reasoning and boundary analysis.
62
Publications
3.2K
Citations
183
Authors
73
Institutions
Publications per year
2017–2026
20
Parents
62
Probabilistic framework for segmenting people under occlusion
Ahmed Elgammal, L.S. Davis · 2002 · 172 citations
Perceiving Heading in the Presence of Moving Objects
William H. Warren, Jeffrey A. Saunders · Perception · 1995 · 166 citations
1–5 of 62
183
Rutgers, The State University of New Jersey, United States
2 publications · 184 citations
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1–5 of 183
73

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
7 publications
527 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
224 citations
The University of Tokyo
Tokyo, Japan
2 h-index
7 publications
145 citations

Imperial College London
London, United Kingdom
2 h-index
4 publications
202 citations
Boston University
Boston, United States
2 h-index
3 publications
132 citations
University of Maryland, College Park
College Park, United States
2 h-index
6 publications
388 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
96 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
22 citations
1–8 of 73
3 publications · 145 citations
4
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3 publications · 602 citations
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2 publications · 104 citations
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Conference · 2 publications · 95 citations
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TPAMI · 2 publications · 212 citations
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