activity
20242026
most citedAdapting Human Mesh Recovery with Vision-Language Feedback

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

cs.RO2026

EgoAlign: Bridging the Human-Humanoid Gap for Long-Range Loco-Manipulation

Yiming Jiang, Chen Jin, Jin Chen +4

Egocentric human demonstrations offer an accessible source of task experience, but differences in body scale and controller response, together with missing robot states, limit thei…

cs.RO2026

EgoHumanoid-V2: Human-to-Humanoid Transfer of Coordinated Whole-Body Skills for Loco-Manipulation

Jin Chen, Yiming Jiang, Chongyang Xu +8

Human demonstrations capture diverse scenes and rich whole-body skills without requiring robot teleoperation. Prior work on egocentric transfer has emphasized scene generalization…

cs.CV2026

Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation

Jiahao Xu, Xiaohan Yuan, Xingchen Wu +3

Co-manipulation requires multiple humans to synchronize their motions with a shared object while ensuring reasonable interactions, maintaining natural poses, and preserving stable…

cs.CV2026

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery

Minghao Sun, Chongyang Xu, Yitao Xie +2

Multi-person 3D reconstruction is pivotal for real-world interaction analysis, yet remains challenging due to severe occlusions and depth ambiguity. Current approaches typically re…

cs.CV2026

Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation

Chongyang Xu, Yixian Zou, Tianyu Yang +4

Diffusion-based visuomotor policies model complex action distributions through iterative denoising, but repeated inference adds latency to robotic control. One-step generators redu…

cs.CV2026

Action-Geometry Prediction with 3D Geometric Prior for Bimanual Manipulation

Chongyang Xu, Haipeng Li, Shen Cheng +4

Bimanual manipulation requires policies that can reason about 3D geometry, anticipate how it evolves under action, and generate smooth, coordinated motions. However, existing metho…

cs.CV2026

HeRO: Hierarchical 3D Semantic Representation for Pose-aware Object Manipulation

Chongyang Xu, Shen Cheng, Haipeng Li +3

Imitation learning for robotic manipulation has progressed from 2D image policies to 3D representations that explicitly encode geometry. Yet purely geometric policies often lack ex…