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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Multiclass-SGCN: Sparse Graph-based trajectory prediction with agent class embedding (ICIP 2022)
@inproceedings{li2022multiclass, title={Multiclass-SGCN: Sparse Graph-based trajectory prediction with agent class embedding}, author={Li, Ruochen and Katsigiannis, Stamos and Shum, Hubert PH}, booktitle={2022 IEEE International Conference on Image Processing (ICIP)}, pages={2346--2350}, year={2022}, organization={IEEE} }
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos (ICPR 2024)
@inproceedings{qiao2025category, title={From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos}, author={Qiao, Tanqiu and Li, Ruochen and Li, Frederick WB and Shum, Hubert PH}, booktitle={International Conference on Pattern Recognition}, pages={262--277}, year={2025}, organization={Springer} }
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction (IEEE TCSVT 2025)
@article{li2025unified, title={Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction}, author={Li, Ruochen and Qiao, Tanqiu and Katsigiannis, Stamos and Zhu, Zhanxing and Shum, Hubert PH}, journal={arXiv preprint arXiv:2502.02504}, year={2025} }
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction (IEEE TNNLS 2025)
@article{li2025bp, title={BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction}, author={Li, Ruochen and Katsigiannis, Stamos and Kim, Tae-Kyun and Shum, Hubert PH}, journal={arXiv preprint arXiv:2502.14676}, year={2025} }
