Patch Tracking
Patch Tracking is a methodological framework within the domain of computer vision that integrates spatiotemporal coherence and feature correspondence to maintain the identity of image patches across sequential frames or hierarchical feature maps in a manner consistent with their geometric and semantic evolution.
27
Publications
1.3K
Citations
89
Authors
53
Institutions
Publications per year
2017–2026
11
Parents
27
International Conference on Computer Vision (ICCV 2017)
Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari et al. · 2017 · 110 citations
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53
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
129 citations

Tamkang University
Taipei, Taiwan
2 h-index
5 publications
198 citations

Nanjing University of Information Science and Technology
Nanjing, China
2 h-index
4 publications
172 citations
University of Science and Technology of China
Hefei, China
2 h-index
5 publications
83 citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
1 h-index
1 publications
11 citations
National Dong Hwa University
Hualien City, Taiwan
1 h-index
3 publications
93 citations
Pohang University of Science and Technology
Pohang, South Korea
1 h-index
3 publications
63 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
10 citations
1–8 of 53
3 publications · 104 citations
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2 publications · 74 citations
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1 publications · 25 citations
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1 publications · 22 citations
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Conference · 1 publications · 38 citations
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