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Kai Chen

​Ph.D. Student
Department of ​Computer Science and Engineering
The Chinese University of Hong Kong
Office: Room 1024, Ho Sin-Hang Engineering Building
Email: kaichen [at] cse.cuhk.edu.hk

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Short Bio

​I am currently a final year Ph.D. student in the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Qi Dou. Previously, I received the B. Eng. degree and M. Eng. degree from Wuhan University, under the supervison from Prof. Jian Yao.

My research interest lies in 3D vision, 6D object pose estimation, and robot manipulation.

Recent Publications

[Policy Learning for Robot Manipulation]
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RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation
Boshi An*, Yiran Geng*, Kai Chen*, Xiaoqi Li, Qi Dou, Hao Dong.
IEEE International Conference on Robotics and Automation (ICRA), 2024.
[paper] [project]

clean-usnob

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Tao Huang, Kai Chen, Wang Wei, Jianan Li, Yonghao Long, Qi Dou.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
[paper] [project]

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Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang, Kai Chen, Bin Li, Yun-Hui Liu, Qi Dou.
IEEE International Conference on Robotics and Automation (ICRA), 2023.
[paper] [project]

[Object Perception for Robot Manipulation]
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Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
Jun Zhou*, Kai Chen*, Linlin Xu, Qi Dou, Jing Qin.
IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[paper] [project]

clean-usnob

Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries
Jiaqi Liu, Yonghao Long, Kai Chen, Cheuk Hei Leung, Zerui Wang, Qi Dou.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
[paper]

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StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS
Kai Chen, Stephen James, Congying Sui, Yun-Hui Liu, Pieter Abbeel, Qi Dou.
IEEE International Conference on Robotics and Automation (ICRA), 2023.
[paper] [project]

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Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking
Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou.
European Conference on Computer Vision (ECCV), 2022.
[paper] [project]

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A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking
Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi-Wing Fu, Yichuan Li, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng.
IEEE Robotics and Automation Letters (RA-L), 2022.
[paper]

clean-usnob

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking
Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng.
International Conference on Robotics and Automation (ICRA), 2022.
[paper]

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SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation
Kai Chen, Qi Dou.
IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (Oral)
[paper] [project]

clean-usnob

Category-level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks
Jiaze Wang*, Kai Chen*, Qi Dou.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[paper] [project]

[Environment Perception for Robot Localization]
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Learning Icosahedral Spherical Probability Map based on Bingham Mixture Model for Vanishing Point Estimation
Haoang Li*, Kai Chen*, Pyojin Kim, Kuk-Jin Yoon, Zhe Liu, Kyungdon Joo, Yun-Hui Liu.
IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
[paper]

clean-usnob

Learning to Identify Correct 2D-2D Line Correspondences on Sphere
Haoang Li, Kai Chen, Ji Zhao, Jiangliu Wang, Pyojin Kim, Zhe Liu, Yun-Hui Liu.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[paper]

clean-usnob

CLMM-Net: Robust Cascaded LiDAR Map Matching based on Multi-Level Intensity Map
Kai Chen, Lei He, Xiaofeng Wang, Yuqian Liu, Ming Zhao.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[paper]

clean-usnob

Vanishing Point Guided Natural Image Stitching
Kai Chen, Jian Yao, Jingmin Tu, Yahui Liu, Yinxuan Li, Li Li.
arXiv preprint arXiv:2004.02478, 2020.
[paper]

Miscellaneous

Professional Activities
  • Conference Reviews:

International Conference on Computer Vision (ICCV) 2023.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023,2024.
European Conference on Computer Vision (ECCV) 2022,2024.
International Conference on Robotics and Automation (ICRA) 2022,2023.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021,2022,2023.

  • Journal Reviews:

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
IEEE Transactions on Image Processing (TIP).
IEEE Transactions on Multimedia (TMM).
IEEE Transactions on Robotics (T-RO).
IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
IEEE Robotics and Automation Letters (RA-L)