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Bochen Xie (谢博琛), Ph.D. |
Biography
I obtained the Ph.D. degree from the City University of Hong Kong (CityUHK), Hong Kong SAR, China, in 2024, with the supervision of Prof. Youfu Li. Previously, I received the B.Eng. degree from the China University of Petroleum, Qingdao, China, in 2019 and the M.Sc. degree from CityUHK in 2020. I work in the field of computer vision and deep learning, and focus on the following research topics:- Multi-Modal Learning => Vision-Language Model, Multi-Modal Alignment and Fusion, and Cross-Modal Transfer Learning
- Visual Perception with Event Cameras => Representation, Learning, and Downstream Tasks
- Multimedia Forensics => Forgery Detection, Information Forensics, and AIGC Security
- Model Compression => Knowledge Distillation and Network Pruning
News
- [Feb 2025] One paper has been accepted by the Neurocomputing.
- [Dec 2024] Two papers have been accepted by the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), February 25 to March 4, 2024, Pennsylvania (PA), USA.
- [Aug 2024] One paper has been accepted by the IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT).
- [Mar 2024] One paper has been accepted by the IEEE Transactions on Multimedia (T-MM).
- [Feb 2023] One paper has been accepted for publication at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 18-22, 2023, Vancouver, Canada.
- [Dec 2022] One paper has been accepted by the IEEE Transactions on Multimedia (T-MM).
- [Oct 2022] One paper has been accepted by the 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), December 5-9, 2022, Xishuangbanna, China.
- [Oct 2022] One paper has been accepted by the 2022 7th International Conference on Control, Robotics and Cybernetics (CRC), December 15-17, 2022, Zhanjiang, China.
- [Feb 2022] The RA-L paper "VMV-GCN" has also been accepted for presentation at the 2022 IEEE International Conference on Robotics and Automation (ICRA), May 23-27, 2022, Philadelphia (PA), USA.
- [Dec 2021] One paper has been accepted by the IEEE Robotics and Automation Letters (RA-L).
Publications
Journal Articles- B. Xie, Y. Deng, Z. Shao, Q. Xu, and Y. Li, "Event Voxel Set Transformer for Spatiotemporal Representation Learning on Event Streams," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 12, pp. 13427-13440, 2024. [Paper][Dataset]
- B. Xie, Y. Deng, Z. Shao, and Y. Li, "EISNet: A Multi-Modal Fusion Network for Semantic Segmentation with Events and Images," in IEEE Transactions on Multimedia, vol. 26, pp. 8639-8650, 2024. [Paper][Code]
- B. Xie, Y. Deng, Z. Shao, H. Liu, and Y. Li, "VMV-GCN: Volumetric Multi-View Based Graph CNN for Event Stream Classification," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 1976-1983, 2022. [Paper]
(with Oral Presentation at ICRA 2022) - Y. Liu, Y. Deng, B. Xie, H. Liu, Z. Yang, and Y. Li, "Neuromorphic Event-Based Recognition Boosted by Motion-Aware Learning," in Neurocomputing, 2025. [Paper]
- H. Liu, C. Zhang, Y. Deng, B. Xie, T. Liu, and Y. -F. Li, "TransIFC: Invariant Cues-Aware Feature Concentration Learning for Efficient Fine-Grained Bird Image Classification," in IEEE Transactions on Multimedia, early access, 2023. [Paper]
- B. Xie, Y. Deng, Z. Shao, H. Liu, Q. Xu, and Y. Li, "Event Tubelet Compressor: Generating Compact Representations for Event-Based Action Recognition," in Proceedings of the 2022 7th International Conference on Control, Robotics and Cybernetics (CRC), 2022, pp. 12-16. [Paper]
- K. Li, G. Lyu, H. Chen, B. Xie, Z. Yang, Y. Li, and Y. Deng, "Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation," in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
- Z. Wang, Y. Huang, G. Lyu, Y. Zhao, Z. Zhou, B. Xie, Z. Yang, and Y. Deng, "MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds," in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
- C. Zhang, H. Liu, Y. Deng, B. Xie, and Y. Li, "TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 8897-8906. [Paper][Code]
- H. Liu, C. Zhang, B. Xie, T. Liu, Q. Xu, and Y.-F. Li, "Affinity Relation-Aware Fine-Grained Bird Image Recognition for Robot Vision Tracking via Transformers," in Proceedings of the 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2022, pp. 662-667. [Paper]
- Y. Liu, Y. Deng, H. Chen, B. Xie, Y. Li, and Z. Yang, "Event-Based Video Frame Interpolation with Edge Guided Motion Refinement," 2024, arXiv:2404.18156. [Paper]
Teaching
Teaching Assistant at CityU- MNE6130 Modern Robotics: Spring 2024
- MNE6007/8118 Advanced Automation Technology: Fall 2023; Fall 2022; Fall 2021
- MNE6002/8116 Computer Controlled Systems: Spring 2023; Spring 2022
Academic Services
Reviewer- IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
- IEEE International Conference on Robotics and Automation (ICRA)
Selected Awards
- National 1st Prize, Siemens Cup China Intelligent Manufacturing Challenge, 2018 (Topic: Continuous Process Design and Development)
- Honorable Mention, Mathematical Contest in Modeling, 2018 (Topic: Multi-hop HF Radio Propagation)
- Provincial 1st Prize, Renesas Cup National Undergraduate Electronics Design Contest, 2017 (Topic: Adaptive Filter)
- Provincial 2nd Prize, Shandong Province Undergraduate Robot Contest, 2016 (Topic: Fire Extinguishing Robot)