Calibration with ball objects for telecentric micro-vision system. - Fangbo Qin; De Xu; Fei Shen 002; Dapeng Zhang; Xilong Liu (CASE, 2016)

Nanoliter Fluid Dispensing Based on Microscopic Vision and Laser Range Sensor. - Song Liu 003; De Xu; Youfu Li 001; Fei Shen 002; Dapeng Zhang (IEEE Trans. Ind. Electron., 2017)

A New Calibration Method of Line Scan Camera for High-Precision Two-Dimensional Measurement. - Jiabin Zhang; Zhengtao Zhang; Fei Shen 002; Feng Zhang; Hu Su (CASE, 2018)

An Overview of Contour Detection Approaches. - Xinyi Gong; Hu Su; De Xu; Zhengtao Zhang; Fei Shen 002; Hua-Bin Yang (Int. J. Autom. Comput., 2018)

Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement. - Fangbo Qin; Fei Shen 002; Dapeng Zhang; Xilong Liu; De Xu (IEEE Trans. Syst. Man Cybern. Syst., 2018)

CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection. - Jiabin Zhang; Hu Su; Wei Zou; Xinyi Gong; Zhengtao Zhang; Fei Shen 002 (Pattern Recognit., 2021)

Automated Pose Measurement Method Based on Multivision and Sensor Collaboration for Slice Microdevice. - Fei Shen 002; Fangbo Qin; Zhengtao Zhang; De Xu; Juan Zhang; Wenrong Wu (IEEE Trans. Ind. Electron., 2021)

A Novel Pixel-Wise Defect Inspection Method Based on Stable Background Reconstruction. - Chengkan Lv; Fei Shen 002; Zhengtao Zhang; De Xu; Yonghao He (IEEE Trans. Instrum. Meas., 2021)

Flexible 3D Object Appearance Observation Based on Pose Regression and Active Motion. - Shaohu Wang; Fangbo Qin; Fei Shen 002; Zhengtao Zhang (CASE, 2022)

Unsupervised Automatic Defect Inspection based on Image Matching and Local One-class Classification. - Chengkan Lv; Zhengtao Zhang; Fei Shen 002; Feng Zhang (CVPR Workshops, 2023)

Diversified and Multi-Class Controllable Industrial Defect Synthesis for Data Augmentation and Transfer. - Jing Wei; Fei Shen 002; Chengkan Lv; Zhengtao Zhang; Feng Zhang; Huabin Yang (CVPR Workshops, 2023)

Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision. - Han Gao; Huiyuan Luo; Fei Shen 002; Zhengtao Zhang (CoRR, 2023)

The Second-place Solution for CVPR VISION 23 Challenge Track 1 - Data Effificient Defect Detection. - Xian Tao; Zhen Qu; Hengliang Luo; Jianwen Han; Yonghao He; Danfeng Liu; Chengkan Lv; Fei Shen 002; Zhengtao Zhang (CoRR, 2023)

Exploring the Optimization Objective of One-Class Classification for Anomaly Detection. - Han Gao; Huiyuan Luo; Fei Shen 002; Zhengtao Zhang (CoRR, 2023)

Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation. - Zhen Qu; Xian Tao; Fei Shen 002; Zhengtao Zhang; Tao Li (IEEE Trans. Instrum. Meas., 2023)

VCP-CLIP: A Visual Context Prompting Model for Zero-Shot Anomaly Segmentation. - Zhen Qu; Xian Tao; Mukesh Prasad; Fei Shen 002; Zhengtao Zhang; Xinyi Gong; Guiguang Ding (ECCV (69), 2024)

Few-Shot Defect Image Generation Based on Consistency Modeling. - Qingfeng Shi; Jing Wei; Fei Shen 002; Zhengtao Zhang (ECCV (76), 2024)

Orthogonal Latent Compression for Streaming Anomaly Detection in Industrial Vision. - Han Gao; Huiyuan Luo; Fei Shen 002; Zhengtao Zhang (ICPR (9), 2024)

A Norm-Constrained Method for Semantic and Structured Anomaly Detection Tasks. - Han Gao; Huiyuan Luo; Fei Shen 002; Zhengtao Zhang (IEEE Trans. Instrum. Meas., 2024)

Adaptive few-shot image augmentation for fine-grained industrial defects based on region-level modeling. - Jing Wei; Qingfeng Shi; Zhengtao Zhang; Fei Shen 002; Huiyuan Luo (Eng. Appl. Artif. Intell., 2025)

LScAD: A Large-Small Model Collaboration Framework for Unsupervised Industrial Anomaly Detection. - Shichen Qu; Xian Tao; Xinyi Gong; Zhen Qu; Mukesh Prasad; Fei Shen 002; Zhengtao Zhang; Guiguang Ding (IEEE Trans. Instrum. Meas., 2025)