Multi-frame Optical Flow

Multi-Frame Optical Flow is an optical flow estimation framework that generalizes the traditional two-frame motion analysis by leveraging temporal information from more than two consecutive frames to improve the accuracy and robustness of motion field prediction.

114

Publications

13.5K

Citations

374

Authors

181

Institutions

Publications per year

2017–2026

61

Authors

374

  1. AZ
    Andrew Zisserman

    University of Oxford, United Kingdom

    5 publications · 7.5K citations

    5

    h-index

  2. MJ
    Michael J. Black

    Max Planck Institute for Intelligent Systems, Germany

    5 publications · 575 citations

    5

    h-index

  3. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    4 publications · 1.3K citations

    4

    h-index

  4. DS
    Deqing Sun

    Google (United States), United States

    4 publications · 1.1K citations

    4

    h-index

  5. JK
    Jan Kautz

    University College London, United Kingdom

    4 publications · 996 citations

    4

    h-index

1–5 of 374

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 5.7K citations

    10

    h-index

  2. IEEE Transactions on Image Processing

    4 publications · 157 citations

    4

    h-index

  3. IEEE Access

    3 publications · 130 citations

    3

    h-index

  4. Neurocomputing

    3 publications · 34 citations

    3

    h-index

  5. Measurement Science and Technology

    2 publications · 43 citations

    2

    h-index

1–5