Spatio-Temporal Graph Convolutional Networks for Pedestrian Trajectory Prediction - researchr publication related

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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]

The following publications are possibly variants of this publication:

PTP-STGCN: Pedestrian Trajectory Prediction Based on a Spatio-temporal Graph Convolutional Neural NetworkJing Lian, Weiwei Ren, Linhui Li, Yafu Zhou, Bin Zhou. apin, 53(3):2862-2878, 2023. [doi]

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Spatio-temporal interactive graph convolution network for vehicle trajectory predictionGuojiang Shen, Pengfei Li, ZhiYu Chen, Yao Yang, Xiangjie Kong 0001. iot, 24:100935, December 2023. [doi]

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