Hello! I’m Yunkang Cao (曹云康), a Ph.D. candidate at Huazhong University of Science and Technology (HUST), where I am fortunate to be working under the guidance of Prof. Weiming Shen. Currently, I am visiting Politecnico Milano (Polimi) under the supervision of Giacomo Boracchi.
My academic interests revolve around Deep Learning and Computer Vision, with a specific focus on Multi-modal Anomaly Detection. Lately, my research has been centered on the application of foundational models like vision-language models in anomaly detection tasks, alongside my exploration of Zero/Few-shot Anomaly Detection.
I leverage these techniques to address challenges within the domain of Industrial Inspection, where my work is concentrated on advancing Robotized Intelligent Manufacturing. The primary goal is to develop swift and precise quality inspection solutions for large-scale multi-view objects.
If you find my research intriguing, please don’t hesitate to get in touch with me. I welcome any inquiries or discussions regarding my work! 😊
Typically, I am open to any potential collaborations. Feel free to drop me an email if you are willing!
🔥 News
- 2024.02: 🎉🎉 We are organizing a special session titled Industrial Foundation Models and Applications in Smart Manufacturing (CODE: ypg7k) in CASE 2024. We welcome contributions!
- 2023.12: 🎉🎉 Our paper addressed Semi-supervised Image Anomaly Detection is accepted by IEEE Transactions on Instrumentation and Measurement.
- 2023.12: 🎉🎉 Our paper addressed Semi-supervised Image Anomaly Detection is accepted by IEEE Transactions on Systems, Man, and Cybernetics: Systems.
- 2023.11: 🎉🎉 We released Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead (Code), the first comprehensive evaluation on GPT-4V for generic anomaly detection. Press Coverage: 机器之心.
- 2023.09: 🎉🎉 Our paper addressed Unsupervised Image Anomaly Detection is accepted by Knowledge-based Systems.
- 2023.06: 🎉🎉 We won the 2nd place in CVPR VAND Zero-shot Anomaly Detection Challenge. Press Coverage: 华中科技大学, 我爱计算机视觉.
- 2023.05: 🎉🎉 We released Segment Any Anomaly without Training via Hybrid Prompt Regularization (Paper) (Code) for zero-shot anomaly segmentation.
- 2023.05: 🎉🎉 Our paper addressed High-Resolution Image Anomaly Detection has been accepted by IEEE CASE 2023.
- 2023.03: 🎉🎉 We released Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection for point cloud anomaly detection.
- 2023.01: 🎉🎉 Our paper addressed Unsupervised Image Anomaly Detection is accepted by IEEE TII.
- 2022.09: 🎉🎉 One paper is accepted by Knowledge-based Systems.
- 2022.05: 🎉🎉 One paper is accepted by IEEE CASE 2022.
- 2022.05: 🎉🎉 We get The Mathematical Modeling Stars Nomination in the 18th China Post-graduate Mathematical Contest.
- 2022.03: 🎉🎉 Two papers are accepted by IEEE CSCWD 2022.
- 2022.03: 🎉🎉 Our paper addressed Unsupervised Image Anomaly Detection is accepted by Knowledge-based Systems.
📝 Publications
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
Yunkang Cao, Xiaohao Xu, Jiangning Zhang, Yuqi Cheng, Xiaonan Huang, Guansong Pang, Weiming Shen.
Submitted to IJCAI.
Deep Feature Contrasting for Industrial Image Anomaly Segmentation
Qian Wan, Yunkang Cao, Liang Gao, Xinyu Li*, Yiping Gao.
IEEE Transactions on Instrumentation and Measurement.
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization
Yunkang Cao, Xiaohao Xu, Chen Sun, Liang Gao, and Weiming Shen*.
IEEE Transactions on Systems, Man, and Cybernetics: Systems.
A Masked Reverse Knowledge Distillation Method Incorporating Global and Local Information for Image Anomaly Detection
Yuxin Jiang, Yunkang Cao, Weiming Shen*
Knowledge-based Systems
GON: End-to-end Optimization Framework for Constraint Graph Optimization Problems
Chuan Liu, Jingwei Wang, Yunkang Cao, Min Liu, Weiming Shen*
Knowledge-based Systems
Semi-supervised Knowledge Distillation for Tiny Defect Detection
Yunkang Cao, Yanan Song, Xiaohao Xu, Shuya Li, Yuhao Yu, Yiheng Zhang, Weiming Shen*
IEEE International Conference on Computer Supported Cooperative Work in Design 2022 (IEEE CSCWD 2022)
An Outlier-Aware Method for UWB Indoor Positioning in NLoS Situations
Chuan Liu, Yunkang Cao, Chen Sun, Weiming Shen*, Xinyu Li and Liang Gao
IEEE International Conference on Computer Supported Cooperative Work in Design 2022 (IEEE CSCWD 2022)
💻 Projects
Multi-View Industrial Inspection with Robot Arms
Robot assisted Industrial inspection for workpieces with curved and reflective surfaces (e.g. VR glasses, Car’s steering wheel covers)
🥇 Selected Awards
- 2nd place in CVPR VAND Zero-shot Anomaly Detection Challenge
- First-class Scholarship for Postgraduates, HUST, 2020.09, 2021.09, 2022.09
- Student Award for Research and Innovation, 2022.05
- Mathematical Modeling Stars Nomination (TOP 2) in the 18th China Post-graduate Mathematical Contest, 2022.05
- Merit Postgraduate student, HUST, 2021.09
- Excellent Graduates, HUST, 2019.06
- National Scholarship (the highest scholarship for B.E), 2017.09, 2019.09
🎓📚 Academic Service
- Journal Reviewer, IEEE TII, IEEE TSMC, IEEE TNNLS, IEEE TCSVT
- Conference Reviewer, CVPR, AAAI, ICRA, CASE, CSCWD
💬 Invited Talks
- 2023.11, “Overview of Image Anomaly Detection—Review, Applications, and Future Prospects”, Talk with Professor Kevin Xu’s group at the National University of Defense Technology.
📖 Educations
-
2023.10 - present, Politecnico di Milano
Department of Electronics, Information and Bioengineering
Visiting Ph.D. in Computer Science Advisor: Giacomo Boracchi -
2020.09 - present, Huazhong University of Science and Technology
State Key Laboratory of Digital Manufacturing Equipment and Technology
Ph.D. Candidate in Mechanical Engineering Advisor: Weiming Shen -
2016.09 - 2020.06, Huazhong University of Science and Technology
B.S. in Mechanical Design, Manufacture & Automation