Motion Interpolation

Motion Interpolation is a computational technique within motion estimation that synthesizes intermediate motion states between known temporal samples by predicting motion trajectories through temporal upsampling of motion fields.

284

Publications

14.4K

Citations

742

Authors

276

Institutions

Publications per year

2017–2026

69

Authors

742

  1. TQ
    Truong Q. Nguyen

    University of California San Diego, United States

    8 publications · 269 citations

    8

    h-index

  2. JA
    João Ascenso

    Instituto de Telecomunicações, Portugal

    6 publications · 630 citations

    6

    h-index

  3. FP
    Fernando Pereira

    Instituto de Telecomunicações, Portugal

    6 publications · 630 citations

    6

    h-index

  4. JK
    Jessica K. Hodgins

    Carnegie Mellon University, United States

    4 publications · 468 citations

    4

    h-index

  5. CJ
    C.‐C. Jay Kuo

    University of Southern California, United States

    4 publications · 108 citations

    4

    h-index

1–5 of 742

Venues

  1. 19

    h-index

  2. IEEE Transactions on Consumer Electronics

    18 publications · 831 citations

    16

    h-index

  3. IEEE Transactions on Image Processing

    14 publications · 649 citations

    13

    h-index

  4. 11

    h-index

  5. Journal of Mechanical Design

    5 publications · 250 citations

    5

    h-index

1–5