Spatiotemporal Sequence Modeling

Spatiotemporal Sequence Modeling is a computational modeling framework that captures the dynamic evolution of spatially embedded entities over time by jointly representing their geometric configurations and temporal dependencies within sequential data.

30

Publications

1.4K

Citations

116

Authors

57

Institutions

Publications per year

2017–2026

16

Authors

116

  1. ZG
    Zhifeng Gao

    Tsinghua University, China

    2 publications · 359 citations

    2

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    2 publications · 359 citations

    2

    h-index

  3. NR
    Naren Ramakrishnan

    Virginia Tech, United States

    2 publications · 83 citations

    2

    h-index

  4. CL
    Chang‐Tien Lu

    Virginia Tech, United States

    2 publications · 83 citations

    2

    h-index

  5. IM
    Iain Matthews

    Carnegie Mellon University, United States

    2 publications · 192 citations

    2

    h-index

1–5 of 116

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 395 citations

    2

    h-index

  2. 1

    h-index

  3. Remote Sensing

    1 publications · 14 citations

    1

    h-index

  4. ACM Transactions on Graphics

    TOG · 1 publications · 124 citations

    1

    h-index

  5. Frontiers in Systems Neuroscience

    1 publications · 42 citations

    1

    h-index

1–5