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Bochen Xie (谢博琛) |
Biography
I received the B.Eng. degree in Automation from the China University of Petroleum, Qingdao, China, in 2019 and the M.Sc. degree in Mechanical Engineering from the City University of Hong Kong (CityU), Hong Kong SAR, China, in 2020. I'm currently working toward the Ph.D. degree at CityU with the supervision of Prof. Youfu Li. I work in the field of computer vision and deep learning, and focus on the following research topics:- Visual Perception with Event Cameras
- Representation Learning
- Multi-Modal Fusion (e.g., RGB, Event Stream, Depth, and 3D Point Cloud)
News
- [Feb 2023] One paper has been accepted for presentation and 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 (TMM).
- [Oct 2022] One paper has been accepted for presentation and publication at the 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), December 5-9, 2022, Xishuangbanna, China.
- [Oct 2022] One paper has been accepted for presentation and publication at 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, 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, Apr. 2022, doi: 10.1109/LRA.2022.3140819.
(with Oral Presentation at ICRA 2022) - H. Liu, C. Zhang, Y. Deng, B. Xie, T. Liu, Z. Zhang, 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, doi: 10.1109/TMM.2023.3238548.
- 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, Zhanjiang, China, 2022, pp. 12-16, doi: 10.1109/CRC55853.2022.10041200.
- 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, Xishuangbanna, China, 2022, pp. 662-667, doi: 10.1109/ROBIO55434.2022.10011861.
- B. Xie, Y. Deng, Z. Shao, H. Liu, Q. Xu, and Y. Li, "Event Voxel Set Transformer for Spatiotemporal Representation Learning on Event Streams," 2023, arXiv:2303.03856. [Link][Dataset]
- Y. Deng, H. Chen, B. Xie, H. Liu, and Y. Li, "A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognition," 2023, arXiv:2302.04177. [Link]
Teaching
Teaching Assistant at CityU- MNE6002/8116 Computer Controlled Systems: Sem B, 2022-23; Sem B, 2021-22
- MNE6007/8118 Advanced Automation Technology: Sem A, 2022-23; Sem A, 2021-22
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)