👋🏼 About Me
Hi! My name is Zhaopeng Gu (古兆鹏). I’m now a Ph.D. student at Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所), supervised by Prof. Jinqiao Wang and Asst. Prof. Bingke Zhu at Foundation Model Research Center.
I graduated from School of Computer Science, Beijing University of Post and Telecommunication(北京邮电大学计算机学院) with a bachelor’s degree.
My research interest includes computer vision, industrial visual inspection and multi-modal learning. I have published several papers at the top international AI conferences, and I’m also a reviewer for several high-quality journals such as IEEE TIP, IEEE TCSVT, IEEE TMM, IEEE TII and Pattern Recognition.
🔥 News
- 2025.11: 📝 One paper has been accepted by AAAI 2026 (CCF-A Conference)!
- 2025.06: 🏆 Won the 2nd Place in the VAND 3.0 Challenge at CVPR 2025!
- 2025.03: 📝 One paper has been accepted by CVPR 2025 (CCF-A Conference)!
- 2024.12: 📝 One paper has been accepted by IEEE Transactions on Instrumentation and Measurement (IEEE TIM)!
- 2024.11: 🏆 Won the China National Scholarship at CASIA, by Ministry of Education of China!
- 2024.07: 📝 One paper has been accepted by ACM MULTIMEDIA 2024 (ACM MM, CCF-A Conference)!
- 2024.06: 🏆 Won the 1st Place in the VAND 2.0 Challenge at CVPR 2024!
📝 Publications
AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection
Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Wei Ge, Ming Tang, Jinqiao Wang
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang
ADFormer: Generalizable Few-Shot Anomaly Detection With Dual CNN-Transformer Architecture
Bingke Zhu, Zhaopeng Gu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Hao Li, Ming Tang, Jinqiao Wang
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang
- This is the first Large Vision-Language Model based Industial Anomaly Detection (IAD) method!
- Achieved state-of-the-art (SOTA) performance in the few-shot IAD domain.
- More than 1k stars on Github!
💡 Patents
- Target abnormality detection method and device, Bingke Zhu, Guibo Zhu, Zhaopeng Gu, Jinqiao Wang, Yingying Chen, Patent No. ZL202311447067.5A
- Abnormality detection model training method, abnormality detection device and electronic equipment, Guibo Zhu, Bingke Zhu, Zhaopeng Gu, Yingying Chen, Jinqiao Wang, Patent No. ZL202310666476.8A
- Cross-domain small sample anomaly detection method, device, electronic device and storage medium, Bingke Zhu, Guibo Zhu, Zhaopeng Gu, Yingying Chen, Jinqiao Wang, Patent No. ZL202510363946.2A
🎖 Honors and Awards
- 2024.06 the 2nd Place in the VAND 3.0 Challenge at CVPR 2025!
- 2024.11 China National Scholarship at CASIA, by Ministry of Education of China
- 2024.06 the 1st Place in the VAND 2.0 Challenge at CVPR 2024!
- 2023.12 The first prize in the artificial intelligence elite class project of the CASIA
- 2023.06 Outstanding Bachelor’s Degree Thesis Award from Beijing University of Posts and Telecommunications (Top 2%)
- 2023.06 Outstanding Undergraduate Students of Beijing (Top 5%)
- 2022.12 Municipal Merit Student of Beijing University of Posts and Telecommunications
- 2021.12 First Class Scholarship of Beijing University of Posts and Telecommunications
- 2021.08 National second prize in the National College Student Smart Car Competition
- 2020.12 First Class Scholarship of Beijing University of Posts and Telecommunications
📖 Educations
- 2023.09 - Present, Ph.D. Candidate, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing.
- 2019.09 - 2023.07, Undergraduate, Bejing University of Post and Telecommunication (BUPT), Beijing.