Yijia Weng

About Yijia Weng

Yijia Weng, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Peking University, specializes in the field of Computer Vision, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects

Towards learning geometric eigen-lengths crucial for fitting tasks

AO-Grasp: Articulated Object Grasp Generation

Tracking and reconstructing hand object interactions from point cloud sequences in the wild

Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy

Leveraging se (3) equivariance for self-supervised category-level object pose estimation from point clouds

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

Unpaired motion style transfer from video to animation

Yijia Weng Information

University

Position

___

Citations(all)

234

Citations(since 2020)

233

Cited By

11

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Yijia Weng Skills & Research Interests

Computer Vision

Robotics

Top articles of Yijia Weng

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects

arXiv preprint arXiv:2404.01440

2024/4/1

Towards learning geometric eigen-lengths crucial for fitting tasks

2023/6/15

AO-Grasp: Articulated Object Grasp Generation

arXiv preprint arXiv:2310.15928

2023/10/24

Tracking and reconstructing hand object interactions from point cloud sequences in the wild

2022/9/24

Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy

CVPR 2023

2023/3/2

Leveraging se (3) equivariance for self-supervised category-level object pose estimation from point clouds

Advances in neural information processing systems

2021/12/6

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

2021

Unpaired motion style transfer from video to animation

ACM Transactions on Graphics (TOG)

2020/7/8

See List of Professors in Yijia Weng University(Peking University)

Co-Authors

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