Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments
Yiyao Ma*, Kai Chen*, Hon-Sing Tong, Ruofeng Wei, Yui-Lun Ng, Ka-Wai Kwok, Qi Dou.
European Conference on Computer Vision (ECCV), 2024.
[paper] [project]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]