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
Parents
30
Bilinear spatiotemporal basis models
Ijaz Akhter, Tomas Simon, Sohaib Khan et al. · ACM Transactions on Graphics · 2012 · 124 citations
Satellite Image Prediction Relying on GAN and LSTM Neural Networks
Zhan Xu, Jun Du, Jingjing Wang et al. · 2019 · 89 citations
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir Zamir, Silvio Savarese et al. · 2016 · 82 citations · Full text
1–5 of 30
116
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 116
57
Tsinghua University
Beijing, China
2 h-index
9 publications
613 citations
Stanford University
Stanford, United States
2 h-index
4 publications
288 citations
Walt Disney (United States)
Burbank, United States
2 h-index
5 publications
508 citations
Tongji University
Shanghai, China
2 h-index
5 publications
113 citations
Zhejiang University of Science and Technology
Hangzhou, China
1 h-index
1 publications
23 citations

Hohai University
Nanjing, China
1 h-index
4 publications
104 citations

Beijing University of Technology
Beijing, China
1 h-index
5 publications
85 citations

Harbin Engineering University
Harbin, China
1 h-index
4 publications
56 citations
1–8 of 57
Repository · 2 publications · 395 citations
2
h-index
1 publications · 17 citations
1
h-index
1 publications · 14 citations
1
h-index
TOG · 1 publications · 124 citations
1
h-index
1 publications · 42 citations
1
h-index
1–5