most citedDOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

H-VLA: Hierarchical Vision-Language-Action Model with Key-Action Reasoning and Motion Planning in a Unified Action Space

Xiongfeng Peng, Lu Xu, Yandong Wang +10

Vision-Language-Action (VLA) models have shown strong potential for robotic manipulation, but many existing methods still rely on direct mappings from language and visual observati…

cs.CV2026

R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video

Ke Ma, Yamin Mao, Weiming Li +5

Long-horizon egocentric video is a rich substrate for wearable AI assistants, but object-centric questions such as where an item was moved, when it last changed state, or why it wa…

cs.RO2026

Co-VLA: Coordination-Aware Structured Action Modeling for Dual-Arm Vision-Language-Action Systems

Yandong Wang, Jiaqian Yu, Xiongfeng Peng +8

Vision-language-action (VLA) models show strong capabilities in single and dual-arm robotic manipulation. Prior works show coordinated bimanual behaviors can emerge from end-to-end…

cs.RO2026

DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation

Xiongfeng Peng, Jiaqian Yu, Dingzhe Li +8

In dynamic environments such as warehouses, hospitals, and homes, robots must seamlessly transition between gross motion and precise manipulations to complete complex tasks. Howeve…

cs.CV2024★ 1 cited

DOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimation

Yamin Mao, Zhihua Liu, Weiming Li +3

Depth-based 3D hand pose estimation is an important but challenging research task in human-machine interaction community. Recently, dense regression methods have attracted increasi…