Temporal Fusion

Temporal Fusion is a method within object detection fusion that integrates complementary object-level information across sequential time steps to enhance detection accuracy by leveraging temporal consistency and motion dynamics.

355

Publications

21.2K

Citations

1.5K

Authors

471

Institutions

Publications per year

2017–2026

284

Authors

1.5K

  1. KJ
    Kui Jiang

    Wuhan University, China

    5 publications · 493 citations

    5

    h-index

  2. WZ
    Wengang Zhou

    University of Science and Technology of China, China

    4 publications · 337 citations

    4

    h-index

  3. BW
    Binrong Wu

    Huazhong University of Science and Technology, China

    4 publications · 356 citations

    4

    h-index

  4. LW
    Lin Wang

    Huazhong University of Science and Technology, China

    4 publications · 356 citations

    4

    h-index

  5. JH
    Jenq–Neng Hwang

    University of Washington, United States

    3 publications · 95 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 31 publications · 1.2K citations

    19

    h-index

  2. 12

    h-index

  3. 11

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 10 publications · 1.2K citations

    10

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 600 citations

    10

    h-index

1–5