Cross-view Localization

Cross-View Localization is a landmark-based localization method that determines the position and orientation of a query image by matching it across distinct visual viewpoints, typically between ground-level and aerial or satellite imagery, differing from other localization approaches in its explicit handling of large viewpoint disparities through view-invariant feature representation.

59

Publications

4.5K

Citations

139

Authors

52

Institutions

Publications per year

2017–2026

54

Variants

Cross-view Geo-localization

Authors

139

  1. HL
    Hongdong Li

    Australian National University, Australia

    7 publications · 715 citations

    7

    h-index

  2. YY
    Yi Yang

    University of Technology Sydney, Australia

    5 publications · 739 citations

    5

    h-index

  3. ZZ
    Zhedong Zheng

    University of Technology Sydney, Australia

    5 publications · 739 citations

    5

    h-index

  4. YS
    Yujiao Shi

    Australian National University, Australia

    5 publications · 402 citations

    5

    h-index

  5. XL
    Xiufan Lu

    Shenzhen University, China

    3 publications · 107 citations

    3

    h-index

1–5 of 139

Venues

  1. 8

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 58 citations

    5

    h-index

  3. 5

    h-index

  4. Remote Sensing

    4 publications · 141 citations

    4

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 174 citations

    3

    h-index

1–5