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Kai CHEN
Kai CHEN
在 cse.cuhk.edu.hk 的电子邮件经过验证 - 首页
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引用次数
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年份
Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation
K Chen, Q Dou
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
902021
Category-level 6d object pose estimation via cascaded relation and recurrent reconstruction networks
J Wang*, K Chen*, Q Dou
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
672021
A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking
X Li, R Cao, Y Feng, K Chen, B Yang, CW Fu, Y Li, Q Dou, YH Liu, ...
IEEE Robotics and Automation Letters 7 (2), 3961-3968, 2022
352022
Line-based absolute and relative camera pose estimation in structured environments
H Li, J Zhao, JC Bazin, W Chen, K Chen, YH Liu
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
152019
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking
K Chen, R Cao, S James, Y Li, YH Liu, P Abbeel, Q Dou
European Conference on Computer Vision, 533-550, 2022
142022
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
T Huang, K Chen, B Li, YH Liu, Q Dou
International Conference on Robotics and Automation (ICRA), 2023., 2023
12*2023
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS
K Chen, S James, C Sui, YH Liu, P Abbeel, Q Dou
International Conference on Robotics and Automation (ICRA), 2023., 2023
92023
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking
Y Feng, B Yang, X Li, CW Fu, R Cao, K Chen, Q Dou, M Wei, YH Liu, ...
2022 International Conference on Robotics and Automation (ICRA), 405-411, 2022
92022
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
J Zhou*, K Chen*, L Xu, Q Dou, J Qin
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
82023
Learning icosahedral spherical probability map based on bingham mixture model for vanishing point estimation
H Li*, K Chen*, P Kim, KJ Yoon, Z Liu, K Joo, YH Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
62021
Any-point Trajectory Modeling for Policy Learning
C Wen, X Lin, J So, K Chen, Q Dou, Y Gao, P Abbeel
arXiv preprint arXiv:2401.00025, 2023
42023
SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking
B Yang, X Gao, K Chen, R Cao, Y Feng, X Li, Q Dou, CW Fu, YH Liu, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
22022
Learning to identify correct 2D-2D line correspondences on sphere
H Li, K Chen, J Zhao, J Wang, P Kim, Z Liu, YH Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
Vanishing Point Guided Natural Image Stitching
K Chen, J Yao, J Tu, Y Liu, Y Li, L Li
arXiv preprint arXiv:2004.02478, 2020
22020
RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation
B An, Y Geng, K Chen, X Li, Q Dou, H Dong
arXiv preprint arXiv:2310.03478, 2023
12023
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
T Huang, K Chen, W Wei, J Li, Y Long, Q Dou
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
12023
Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot
Z Yang, Y Long, K Chen, W Wei, Q Dou
arXiv preprint arXiv:2402.01181, 2024
2024
Visual-Kinematics Graph Learning for Procedure-Agnostic Instrument Tip Segmentation in Robotic Surgeries
J Liu, Y Long, K Chen, CH Leung, Z Wang, Q Dou
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2023
CLMM-Net: Robust Cascaded LiDAR Map Matching based on Multi-Level Intensity Map
K Chen, L He, X Wang, Y Liu, M Zhao
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
2021
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking Supplementary Materials
K Chen, R Cao, S James, Y Li, YH Liu, P Abbeel, Q Dou
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