Optical Flow Estimation

Optical Flow Estimation is the computational task of determining the apparent motion of pixels between consecutive frames in a video sequence by estimating the two-dimensional displacement vectors that correspond to the projection of three-dimensional scene motion onto the image plane.

2K

Publications

154.8K

Citations

4.8K

Authors

1.3K

Institutions

Publications per year

2017–2026

608

Authors

4.8K

  1. MJ
    Michael J. Black

    Max Planck Institute for Intelligent Systems, Germany

    23 publications · 7.3K citations

    19

    h-index

  2. DS
    Deqing Sun

    Google (United States), United States

    18 publications · 6.8K citations

    17

    h-index

  3. SR
    Stefan Roth

    Technische Universität Darmstadt, Germany

    16 publications · 6.5K citations

    14

    h-index

  4. DC
    Daniel Cremers

    Technical University of Munich, Germany

    14 publications · 5.8K citations

    13

    h-index

  5. TB
    Thomas Brox

    University of Freiburg, Germany

    14 publications · 10.5K citations

    13

    h-index

1–5 of 4.8K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 77 publications · 11.6K citations

    47

    h-index

  2. IEEE Transactions on Image Processing

    75 publications · 4.4K citations

    38

    h-index

  3. International Journal of Computer Vision

    37 publications · 13.6K citations

    31

    h-index

  4. 28

    h-index

  5. arXiv (Cornell University)

    Repository · 83 publications · 3.3K citations

    26

    h-index

1–5