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

Publications

15.2K

Citations

727

Authors

254

Institutions

Publications per year

2017–2026

142

Authors

727

  1. WZ
    Wei‐Shi Zheng

    Sun Yat-sen University, China

    12 publications · 1.8K citations

    12

    h-index

  2. HL
    Hongdong Li

    Australian National University, Australia

    7 publications · 605 citations

    7

    h-index

  3. QH
    Qixing Huang

    The University of Texas at Austin, United States

    5 publications · 743 citations

    5

    h-index

  4. AW
    Ancong Wu

    Sun Yat-sen University, China

    5 publications · 722 citations

    5

    h-index

  5. HB
    Hujun Bao

    Zhejiang University, China

    4 publications · 377 citations

    4

    h-index

1–5 of 727

Venues

  1. 15

    h-index

  2. arXiv (Cornell University)

    Repository · 22 publications · 437 citations

    14

    h-index

  3. 10

    h-index

  4. IEEE Transactions on Image Processing

    7 publications · 551 citations

    7

    h-index

  5. Neurocomputing

    6 publications · 175 citations

    6

    h-index

1–5