Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction Citation: 32# Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021 Ben Rainbow, Qianhui Men and Hubert P. H. Shum Topics: Crowd Modelling Webpage DOI arXiv Cite This Plain Text
Ben Rainbow, Qianhui Men and Hubert P. H. Shum, "Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction," in SMC '21: Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2959-2966, Melbourne, Australia, IEEE, Oct 2021.
Bibtex
@inproceedings{rainbow21semantics, author={Rainbow, Ben and Men, Qianhui and Shum, Hubert P. H.}, booktitle={Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics}, series={SMC '21}, title={Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction}, year={2021}, month={10}, pages={2959--2966}, numpages={8}, doi={10.1109/SMC52423.2021.9658781}, issn={2959-2966}, publisher={IEEE}, location={Melbourne, Australia}, }
RIS
TY - CONF AU - Rainbow, Ben AU - Men, Qianhui AU - Shum, Hubert P. H. T2 - Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics TI - Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction PY - 2021 Y1 - 10 2021 SP - 2959 EP - 2966 DO - 10.1109/SMC52423.2021.9658781 SN - 2959-2966 PB - IEEE ER -