3 citations · 6 across the 8 of their papers we have counts for
9 papers
Grasp-Oriented Non-Prehensile Manipulation via Learning a Graspability Field
Licheng Zhong, Gim Hee Lee
Non-prehensile manipulation is often used as a preparatory step for robotic grasping, yet existing approaches typically require a predefined target object pose. In practice, howeve…
Full-Body Golf Swing Kinematic Reconstruction From a Smartwatch IMU
Yuanshuo Tan, Kezhe Zhu, Xiujie Sun +12
Quantitative measurement of the golf swing is critical for evaluating technique and enabling individualized feedback. However, existing methods are impractical to use on the golf c…
Bi-Adapt: Few-shot Bimanual Adaptation for Novel Categories of 3D Objects via Semantic Correspondence
Jinxian Zhou, Ruihai Wu, Yiwei Liu +5
Bimanual manipulation is imperative yet challenging for robots to execute complex tasks, requiring coordinated collaboration between two arms. However, existing methods for bimanua…
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking
Yun Liu, Bowen Yang, Licheng Zhong +2
Learning generic skills for humanoid robots interacting with 3D scenes by mimicking human data is a key research challenge with significant implications for robotics and real-world…
Multi-view Hand Reconstruction with a Point-Embedded Transformer
Lixin Yang, Licheng Zhong, Pengxiang Zhu +4
This work introduces a novel and generalizable multi-view Hand Mesh Reconstruction (HMR) model, named POEM, designed for practical use in real-world hand motion capture scenarios.…
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians
Licheng Zhong, Hong-Xing Yu, Jiajun Wu +1
Reconstructing and simulating elastic objects from visual observations is crucial for applications in computer vision and robotics. Existing methods, such as 3D Gaussians, model 3D…
CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation
Kailin Li, Lixin Yang, Haoyu Zhen +6
In daily life, humans utilize hands to manipulate objects. Modeling the shape of objects that are manipulated by the hand is essential for AI to comprehend daily tasks and to learn…
Color-NeuS: Reconstructing Neural Implicit Surfaces with Color
Licheng Zhong, Lixin Yang, Kailin Li +3
The reconstruction of object surfaces from multi-view images or monocular video is a fundamental issue in computer vision. However, much of the recent research concentrates on reco…
POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo
Lixin Yang, Jian Xu, Licheng Zhong +4
Enable neural networks to capture 3D geometrical-aware features is essential in multi-view based vision tasks. Previous methods usually encode the 3D information of multi-view ster…