Staff profile
Overview
Ruochen Li
Postgraduate Student

Affiliation |
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Postgraduate Student in the Department of Computer Science |
Publications
Conference Paper
- From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in VideosQiao, T., Li, R., Li, F. W. B., & Shum, H. P. H. (2025). From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos. In Pattern Recognition 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XV (pp. 262-277). Springer. https://doi.org/10.1007/978-3-031-78354-8_17
- Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class EmbeddingLi, R., Katsigiannis, S., & Shum, H. P. (2022). Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding. In 2022 IEEE International Conference on Image Processing (ICIP) Proceedings (pp. 2346-2350). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/icip46576.2022.9897644
Journal Article
- Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in VideosQiao, T., Li, R., Li, F. W. B., Kubotani, Y., Morishima, S., & Shum, H. P. H. (in press). Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos. Expert Systems With Applications.
- BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory PredictionLi, R., Katsigiannis, S., Kim, T.-K., & Shum, H. P. H. (2025). BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction. IEEE Transactions on Neural Networks and Learning Systems. Advance online publication. https://doi.org/10.1109/TNNLS.2025.3545268
- Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory PredictionLi, R., Qiao, T., Katsigiannis, S., Zhu, Z., & Shum, H. P. (2025). Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction. IEEE Transactions on Circuits and Systems for Video Technology. Advance online publication. https://doi.org/10.1109/TCSVT.2025.3539522