activity
20242026
most citedVLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model

11 citations · 15 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2026

RoPT: Robust 6DoF Object Pose Tracking in Video

Yongqing Liang, Yuzhong Chen, Sihang Li +7

Accurate 6-DoF object pose tracking is essential for robotic interaction, yet conventional monocular pipelines frequently suffer from catastrophic divergence under rapid object mot…

cs.RO2025

From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models

Irving Fang, Juexiao Zhang, Shengbang Tong +1

One promise that Vision-Language-Action (VLA) models hold over traditional imitation learning for robotics is to leverage the broad generalization capabilities of large Vision-Lang…

cs.CV2025

GARF: Learning Generalizable 3D Reassembly for Real-World Fractures

Sihang Li, Zeyu Jiang, Grace Chen +9

3D reassembly is a challenging spatial intelligence task with broad applications across scientific domains. While large-scale synthetic datasets have fueled promising learning-base…

cs.RO2024

FusionSense: Bridging Common Sense, Vision, and Touch for Robust Sparse-View Reconstruction

Irving Fang, Kairui Shi, Xujin He +7

Humans effortlessly integrate common-sense knowledge with sensory input from vision and touch to understand their surroundings. Emulating this capability, we introduce FusionSense,…

cs.RO2024★ 11 cited

VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model

Beichen Wang, Juexiao Zhang, Shuwen Dong +2

Vision Language Models (VLMs) have recently been adopted in robotics for their capability in common sense reasoning and generalizability. Existing work has applied VLMs to generate…

cs.CV2024★ 4 cited

LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images

Jing Zhang, Irving Fang, Juexiao Zhang +7

Lithic Use-Wear Analysis (LUWA) using microscopic images is an underexplored vision-for-science research area. It seeks to distinguish the worked material, which is critical for un…