About
Contact & Profiles
A5049900591
Research Areas
- Industrial Vision Systems and Defect Detection
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Flexible and Reconfigurable Manufacturing Systems
- Anomaly Detection Techniques and Applications
- Human Pose and Action Recognition
- Surface Roughness and Optical Measurements
- Scheduling and Optimization Algorithms
- Autonomous Vehicle Technology and Safety
- Image and Object Detection Techniques
- Advanced Manufacturing and Logistics Optimization
Tsinghua University
2020-2025
Beihang University
2021
10.1007/s10845-020-01670-2
article
EN
Journal of Intelligent Manufacturing
2020-09-20
10.1016/j.aei.2022.101566
article
EN
Advanced Engineering Informatics
2022-03-07
10.1016/j.neucom.2024.127483
article
EN
Neurocomputing
2024-03-05
10.1016/j.cie.2021.107237
article
EN
Computers & Industrial Engineering
2021-03-18
10.1109/cvpr52733.2024.02109
article
EN
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2024-06-16
10.1109/tim.2025.3550210
article
EN
IEEE Transactions on Instrumentation and Measurement
2025-01-01
Abstract In contemporary industrial systems, ensuring the quality of object surfaces has become an essential and inescapable aspect factory inspections. Cascade regional convolutional neural network (cascade R-CNN), detection instance segmentation algorithm based on deep learning, been widely applied in numerous applications. Nonetheless, there is still space for improving defects metal surfaces. The cascade R-CNN does not currently have good results defect detection, but after it by...
10.1115/1.4063860
article
EN
Journal of Computing and Information Science in Engineering
2023-10-20
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