Dense Localization

Dense Localization is a visual localization paradigm that belongs to the broader category of spatial perception methods, differentiating itself by estimating pose or position continuously and at high spatial resolution across an entire input image or scene rather than at sparse, discrete points.

35

Publications

3.7K

Citations

133

Authors

55

Institutions

Publications per year

2017–2026

24

Authors

133

  1. SH
    SangEun Han

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 126 citations

    2

    h-index

  2. JK
    Junmo Kim

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 126 citations

    2

    h-index

  3. YZ
    Yu Zhou

    Huazhong University of Science and Technology, China

    2 publications · 171 citations

    2

    h-index

  4. JF
    Jiashi Feng

    National University of Singapore, Singapore

    2 publications · 692 citations

    2

    h-index

  5. AI
    Andrew I. Comport

    Centre National de la Recherche Scientifique, France

    2 publications · 145 citations

    2

    h-index

1–5 of 133

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 268 citations

    7

    h-index

  2. IEEE Journal of Oceanic Engineering

    1 publications · 37 citations

    1

    h-index

  3. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 37 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5