Video-based Depth Estimation

Video-Based Depth Estimation is a depth estimation methodology that derives per-frame depth maps from video sequences by leveraging temporal consistency and motion coherence across consecutive frames to enhance depth prediction accuracy.

66

Publications

3.5K

Citations

248

Authors

115

Institutions

Publications per year

2017–2026

44

Authors

248

  1. JK
    Johannes Kopf

    Microsoft Research (United Kingdom), United Kingdom

    3 publications · 459 citations

    3

    h-index

  2. JD
    Jia Deng

    University of Michigan, United States

    3 publications · 227 citations

    3

    h-index

  3. SS
    Shijie Sun

    Chang'an University, China

    2 publications · 98 citations

    2

    h-index

  4. AM
    Ajmal Mian

    The University of Western Australia, Australia

    2 publications · 98 citations

    2

    h-index

  5. KQ
    Kaihuai Qin

    Tsinghua University, China

    2 publications · 86 citations

    2

    h-index

1–5 of 248

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 165 citations

    6

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Multimedia

    2 publications · 92 citations

    2

    h-index

  4. IEEE Access

    2 publications · 57 citations

    2

    h-index

  5. Coastal Engineering

    2 publications · 127 citations

    2

    h-index

1–5