Ruihai Wu

About Ruihai Wu

Ruihai Wu, With an exceptional h-index of 5 and a recent h-index of 5 (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:

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation

PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments

NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation

UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments

Learning Part Motion of Articulated Objects Using Spatially Continuous Neural Implicit Representations

Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects

Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

Leveraging SE (3) Equivariance for Learning 3D Geometric Shape Assembly

Ruihai Wu Information

University

Position

___

Citations(all)

237

Citations(since 2020)

237

Cited By

20

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Ruihai Wu Skills & Research Interests

computer vision

robotics

Top articles of Ruihai Wu

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation

arXiv preprint arXiv:2402.15487

2024/2/23

PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments

arXiv preprint arXiv:2404.03634

2024/4/4

NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation

arXiv preprint arXiv:2403.08355

2024/3/13

UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments

arXiv preprint arXiv:2403.02604

2024/3/5

Learning Part Motion of Articulated Objects Using Spatially Continuous Neural Implicit Representations

2023/11/21

Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects

2023/12/10

Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

2023/12/10

Leveraging SE (3) Equivariance for Learning 3D Geometric Shape Assembly

2023/10/1

Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

2023/10/1

Ruihai Wu
Ruihai Wu

H-Index: 2

Hao Dong
Hao Dong

H-Index: 2

AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions

2022

DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos

2021/9/27

VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects

2022

Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

Unpaired Image-to-Image Translation using Adversarial Consistency Loss

2020

See List of Professors in Ruihai Wu University(Peking University)

Co-Authors

academic-engine