Correspondence Estimation
Correspondence Estimation is a methodological process within sensor and volume registration that identifies and establishes the precise spatial or temporal associations between distinct sets of measurements or data points by determining which elements in one domain correspond to those in another, thereby enabling accurate alignment and fusion of multimodal or multi-temporal observations.
192
Publications
11.1K
Citations
565
Authors
250
Institutions
Publications per year
2017–2026
51
192
Robust Point Matching via Vector Field Consensus
Jiayi Ma, Ji Zhao, Jinwen Tian et al. · IEEE Transactions on Image Processing · 2014 · 564 citations · Full text
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 407 citations
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang, Dawei Sun, Zixin Luo et al. · 2019 · 336 citations
Phase-based frame interpolation for video
Simone Meyer, Oliver Wang, Henning Zimmer et al. · 2015 · 312 citations
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250
Technical University of Munich
Munich, Germany
6 h-index
14 publications
802 citations
Tongji University
Shanghai, China
5 h-index
14 publications
712 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
1K citations
Universidad de Zaragoza
Zaragoza, Spain
4 h-index
8 publications
787 citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
10 publications
1.4K citations
University of Pennsylvania
Philadelphia, United States
4 h-index
16 publications
510 citations
Instituto Superior Técnico
Lisbon, Portugal
4 h-index
9 publications
1K citations
Minjiang University
Fuzhou, China
4 h-index
7 publications
141 citations
1–8 of 250
TPAMI · 9 publications · 1.1K citations
9
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7 publications · 156 citations
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6 publications · 445 citations
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Repository · 6 publications · 230 citations
6
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7 publications · 770 citations
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