Spatio-Temporal Graph Convolutional Networks for Pedestrian Trajectory Prediction

Jinrui Geng, Yong Lu, Ruishi Liang, Jianlin Li, Hannan Shen. Spatio-Temporal Graph Convolutional Networks for Pedestrian Trajectory Prediction. In Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer 0001, editors, Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part V. Volume 15290 of Lecture Notes in Computer Science, pages 271-285, Springer, 2024. [doi]

@inproceedings{GengLLLS24,
  title = {Spatio-Temporal Graph Convolutional Networks for Pedestrian Trajectory Prediction},
  author = {Jinrui Geng and Yong Lu and Ruishi Liang and Jianlin Li and Hannan Shen},
  year = {2024},
  doi = {10.1007/978-981-96-6588-4_19},
  url = {https://doi.org/10.1007/978-981-96-6588-4_19},
  researchr = {https://researchr.org/publication/GengLLLS24},
  cites = {0},
  citedby = {0},
  pages = {271-285},
  booktitle = {Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part V},
  editor = {Mufti Mahmud and Maryam Doborjeh and Kevin Kok Wai Wong and Andrew Chi-Sing Leung and Zohreh Doborjeh and M. Tanveer 0001},
  volume = {15290},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-96-6588-4},
}