activity
20202023
most citedLearning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations

47 citations · 114 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2023★ 1 cited

Zero-shot Pose Transfer for Unrigged Stylized 3D Characters

Jiashun Wang, Xueting Li, Sifei Liu +4

Transferring the pose of a reference avatar to stylized 3D characters of various shapes is a fundamental task in computer graphics. Existing methods either require the stylized cha…

cs.CV2023

VoxDet: Voxel Learning for Novel Instance Detection

Bowen Li, Jiashun Wang, Yaoyu Hu +2

Detecting unseen instances based on multi-view templates is a challenging problem due to its open-world nature. Traditional methodologies, which primarily rely on 2D representation…

cs.CV2023

ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation

Zehao Zhu, Jiashun Wang, Yuzhe Qin +3

We propose a new dataset and a novel approach to learning hand-object interaction priors for hand and articulated object pose estimation. We first collect a dataset using visual te…

cs.RO2022★ 1 cited

USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation

Zhengrong Xue, Zhecheng Yuan, Jiashun Wang +3

Can a robot manipulate intra-category unseen objects in arbitrary poses with the help of a mere demonstration of grasping pose on a single object instance? In this paper, we try to…

cs.RO2022★ 47 cited

Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations

Jianglong Ye, Jiashun Wang, Binghao Huang +2

We propose to learn to generate grasping motion for manipulation with a dexterous hand using implicit functions. With continuous time inputs, the model can generate a continuous an…

cs.RO2022★ 11 cited

Learning Generalizable Dexterous Manipulation from Human Grasp Affordance

Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang

Dexterous manipulation with a multi-finger hand is one of the most challenging problems in robotics. While recent progress in imitation learning has largely improved the sample eff…

cs.CV2021★ 35 cited

Multi-Person 3D Motion Prediction with Multi-Range Transformers

Jiashun Wang, Huazhe Xu, Medhini Narasimhan +1

We propose a novel framework for multi-person 3D motion trajectory prediction. Our key observation is that a human's action and behaviors may highly depend on the other persons aro…

cs.CV2021★ 6 cited

Hand-Object Contact Consistency Reasoning for Human Grasps Generation

Hanwen Jiang, Shaowei Liu, Jiashun Wang +1

While predicting robot grasps with parallel jaw grippers have been well studied and widely applied in robot manipulation tasks, the study on natural human grasp generation with a m…

cs.CV2020★ 6 cited

Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes

Jiashun Wang, Huazhe Xu, Jingwei Xu +2

Synthesizing 3D human motion plays an important role in many graphics applications as well as understanding human activity. While many efforts have been made on generating realisti…

cs.CV2020★ 7 cited

Neural Pose Transfer by Spatially Adaptive Instance Normalization

Jiashun Wang, Chao Wen, Yanwei Fu +4

Pose transfer has been studied for decades, in which the pose of a source mesh is applied to a target mesh. Particularly in this paper, we are interested in transferring the pose o…