Follow
Weixiao Liu
Weixiao Liu
Senior Researcher, Tencent America; PhD, Johns Hopkins University
Verified email at jhu.edu
Title
Cited by
Cited by
Year
LSG-CPD: Coherent point drift with local surface geometry for point cloud registration
W Liu, H Wu, GS Chirikjian
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
312021
Robust and accurate superquadric recovery: a probabilistic approach
W Liu, Y Wu, S Ruan, GS Chirikjian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
222022
Augmented reality-assisted autonomous view adjustment of a 6-DOF robotic stereo flexible endoscope
X Ma, C Song, L Qian, W Liu, PW Chiu, Z Li
IEEE Transactions on Medical Robotics and Bionics 4 (2), 356-367, 2022
152022
Primitive-based shape abstraction via nonparametric bayesian inference
Y Wu, W Liu, S Ruan, GS Chirikjian
European Conference on Computer Vision, 479-495, 2022
72022
Marching-primitives: Shape abstraction from signed distance function
W Liu, Y Wu, S Ruan, GS Chirikjian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
52023
Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics
Y Wu, W Liu, Z Liu, GS Chirikjian
arXiv preprint arXiv:2305.06591, 2023
22023
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration
S Ruan, W Liu, X Wang, X Meng, GS Chirikjian
IEEE Transactions on Robotics, 2024
2024
I Get the Hang of It! A Learning-Free Method to Predict Hanging Poses for Previously Unseen Objects
W Li, L Pan, B Jiang, Y Wu, W Liu, GS Chirikjian
IEEE Robotics and Automation Letters, 2024
2024
POSE ESTIMATION AND SHAPE ABSTRACTION FROM A PROBABILISTIC AND GEOMETRIC PERSPECTIVE
W Liu
Johns Hopkins University, 2023
2023
Supplementary Material of Marching-Primitives: Shape Abstraction from Signed Distance Function
W Liu, Y Wu, S Ruan, GS Chirikjian
Supplementary Material: Primitive-based Shape Abstraction via Nonparametric Bayesian Inference
Y Wu, W Liu, S Ruan, GS Chirikjian
Supplementary Material of Robust and Accurate Superquadric Recovery: a Probabilistic Approach
W Liu, Y Wu, S Ruan, GS Chirikjian
Supplementary Material of LSG-GPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration
W Liu, H Wu, GS Chirikjian
The system can't perform the operation now. Try again later.
Articles 1–13