Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios.
Yao Liu|Lina Yao|Binghao Li|Xianzhi Wang|Claude Sammut
| Anthology ID: | DBLP:conf/cikm/LiuYL0S22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1339-1349 |
| URL: | https://doi.org/10.1145/3511808.3557455 |
| DOI: | https://doi.org/10.1145/3511808.3557455 |
| DBLP: | conf/cikm/LiuYL0S22 |
| BibTeX: |
@inproceedings{liu-2022-social,
author = {Yao Liu and
Lina Yao and
Binghao Li and
Xianzhi Wang and
Claude Sammut},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {1339--1349},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557455},
doi = {https://doi.org/10.1145/3511808.3557455}
}