A Gravity-Informed Spatiotemporal Transformer for Human Activity Intensity Prediction
- DOI
- 10.1109/tpami.2025.3625859
- Published
- 2026-03
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2025.3625859,
title = {A Gravity-Informed Spatiotemporal Transformer for Human Activity Intensity Prediction},
author = {Yi Wang and Zhenghong Wang and Fan Zhang and Chaogui Kang and Sijie Ruan and Di Zhu and Chengling Tang and Zhongfu Ma and Weiyu Zhang and Yu Zheng and Philip S. Yu and Yu Liu},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2025.3625859},
url = {https://doi.org/10.1109/tpami.2025.3625859}
}RIS
TY - JOUR TI - A Gravity-Informed Spatiotemporal Transformer for Human Activity Intensity Prediction AU - Yi Wang AU - Zhenghong Wang AU - Fan Zhang AU - Chaogui Kang AU - Sijie Ruan AU - Di Zhu AU - Chengling Tang AU - Zhongfu Ma AU - Weiyu Zhang AU - Yu Zheng AU - Philip S. Yu AU - Yu Liu PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2025.3625859 UR - https://doi.org/10.1109/tpami.2025.3625859 ER -
APA
Wang, Y., Wang, Z., Zhang, F., Kang, C., Ruan, S., Zhu, D., Tang, C., Ma, Z., Zhang, W., Zheng, Y., Yu, P. S., & Liu, Y. (2026). A Gravity-Informed Spatiotemporal Transformer for Human Activity Intensity Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2025.3625859
Source records
- crossref · retrieved 2026-11-10T15:05:07.961Z