Temporal Alignment

Temporal Alignment is a method within multisensor data integration that synchronizes time-varying data streams from heterogeneous sources by resolving temporal discrepancies through the establishment of a common time reference frame.

261

Publications

14.2K

Citations

965

Authors

372

Institutions

Publications per year

2017–2026

130

Authors

965

  1. MA
    Mihalis A. Nicolaou

    Imperial College London, United Kingdom

    4 publications · 173 citations

    4

    h-index

  2. JC
    Juan Carlos Niebles

    Stanford University, United States

    3 publications · 376 citations

    3

    h-index

  3. XC
    Xilin Chen

    Institute of Computing Technology, China

    3 publications · 468 citations

    3

    h-index

  4. AK
    Alex K.‐Y. Jen

    University of Washington, United States

    3 publications · 272 citations

    3

    h-index

  5. YF
    Yun Fu

    Northeastern University, United States

    3 publications · 702 citations

    3

    h-index

1–5 of 965

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 544 citations

    13

    h-index

  2. 8

    h-index

  3. IEEE Transactions on Image Processing

    7 publications · 362 citations

    7

    h-index

  4. 5

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 128 citations

    4

    h-index

1–5