activity
20242026
most citedProgressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection

30 citations · 30 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

FAR-Dex: Few-shot Data Augmentation and Adaptive Residual Policy Refinement for Dexterous Manipulation

Yushan Bai, Fulin Chen, Hongzheng Sun +3

Achieving human-like dexterous manipulation through the collaboration of multi-fingered hands with robotic arms remains a longstanding challenge in robotics, primarily due to the s…

cs.RO2025

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning

Haotian Liu, Yuchuang Tong, Guanchen Liu +2

In Human-Robot Collaboration (HRC), which encompasses physical interaction and remote cooperation, accurate estimation of human intentions and seamless switching of collaboration m…

cs.RO2025

DTRT: Enhancing Human Intent Estimation and Role Allocation for Physical Human-Robot Collaboration

Haotian Liu, Yuchuang Tong, Zhengtao Zhang

In physical Human-Robot Collaboration (pHRC), accurate human intent estimation and rational human-robot role allocation are crucial for safe and efficient assistance. Existing meth…

cs.CV2025

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection

Qiyu Chen, Huiyuan Luo, Haiming Yao +4

Anomaly detection plays a vital role in the inspection of industrial images. Most existing methods require separate models for each category, resulting in multiplied deployment cos…

cs.CV2024★ 30 cited

Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection

Qiyu Chen, Huiyuan Luo, Han Gao +2

Unsupervised anomaly detection methods can identify surface defects in industrial images by leveraging only normal samples for training. Due to the risk of overfitting when learnin…