Cross-view Correspondence
Cross-View Correspondence is a computational framework that establishes semantic or geometric alignments between distinct but related observational perspectives of the same scene or entity, differing from other alignment methods by explicitly modeling the relational invariance and view-specific transformations necessary for accurate inter-view matching.
215
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15.2K
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727
Authors
254
Institutions
Publications per year
2017–2026
142
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Person Re-Identification by Support Vector Ranking
Bryan J. Prosser, Wei‐Shi Zheng, Shaogang Gong et al. · 2010 · 666 citations · Full text
Locally Aligned Feature Transforms across Views
Wei Li, Xiaogang Wang · 2013 · 607 citations
Learning deep representations for ground-to-aerial geolocalization
Tsung-Yi Lin, Yin Cui, Serge Belongie et al. · 2015 · 409 citations
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Sun Yat-sen University
Guangzhou, China
12 h-index
36 publications
3.3K citations

National University of Defense Technology
Changsha, China
7 h-index
31 publications
2.2K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
10 publications
519 citations

Australian National University
Canberra, Australia
7 h-index
18 publications
1.8K citations
Microsoft Research Asia (China)
Beijing, China
6 h-index
8 publications
596 citations
University of Technology Sydney
Sydney, Australia
6 h-index
8 publications
568 citations

Peking University
Beijing, China
6 h-index
9 publications
853 citations
Peng Cheng Laboratory
Shenzhen, China
5 h-index
5 publications
431 citations
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18 publications · 1.2K citations
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Repository · 22 publications · 437 citations
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TPAMI · 10 publications · 653 citations
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7 publications · 551 citations
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