Deformable Models
Deformable Models is a computational framework in the field of shape deformation and volume segmentation that characterizes a deformable object as a parametric or implicit surface guided by energy minimization principles to adapt its geometry in response to external constraints or image-derived cues.
3K
Publications
206.2K
Citations
7K
Authors
1.8K
Institutions
Publications per year
2017–2026
528
3K
Active Shape Models-Their Training and Application
T.F. Cootes, Chris Taylor, D. H. Cooper et al. · Computer Vision and Image Understanding · 1995 · 7.2K citations · Full text
Scalable Person Re-identification: A Benchmark
Liang Zheng, Liyue Shen, Lu Tian et al. · 2015 · 4.6K citations
Deformable ConvNets V2: More Deformable, Better Results
Xizhou Zhu, Han Hu, Stephen Lin et al. · 2019 · 2.7K citations
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University of North Carolina at Chapel Hill, United States
31 publications · 2.1K citations
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22
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21
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21
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21
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1–5 of 7K
1.8K
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
48 h-index
223 publications
21.6K citations

Centre National de la Recherche Scientifique
Paris, France
41 h-index
258 publications
15.6K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
36 h-index
231 publications
16.7K citations
University of Pennsylvania
Philadelphia, United States
34 h-index
183 publications
15.7K citations
ETH Zurich
Zurich, Switzerland
34 h-index
125 publications
13.1K citations
Carnegie Mellon University
Pittsburgh, United States
33 h-index
116 publications
10.4K citations
Stanford University
Stanford, United States
33 h-index
181 publications
11.5K citations
University of California, Berkeley
Berkeley, United States
32 h-index
112 publications
9.8K citations
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TOG · 105 publications · 12.8K citations
65
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81 publications · 9.3K citations
53
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TPAMI · 81 publications · 10.7K citations
46
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87 publications · 6.1K citations
39
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50 publications · 3K citations
31
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