Zuo Zuo

According to our database, Zuo Zuo authored at least 10 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PADiff: Reconstruction From Patch to Pixel With Normality-Guided Diffusion Model for Unsupervised Anomaly Localization.

Zuo Zuo, Jiahao Dong, Yao Wu, Yanyun Qu, Zongze Wu

IEEE Trans. Neural Networks Learn. Syst., October, 2025

Training-Free Anomaly Generation via Dual-Attention Enhancement in Diffusion Model.

Zuo Zuo, Jiahao Dong, Yanyun Qu, Zongze Wu

CoRR, August, 2025

Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection.

You Zhou, Jiangshan Zhao, Deyu Zeng, Zuo Zuo, Weixiang Liu, Zongze Wu

CoRR, February, 2025

A Scale-Adaptive and Background-Robust Method for Surface Defect Detection.

Jiahao Dong, Zuo Zuo, Zongze Wu, Meiqin Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Cross-Modal Semantic Alignment for Efficient Unsupervised Multimodal Anomaly Detection.

Baoqiang Li, Tengyu Zhang, Zuo Zuo, Zongze Wu

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection.

Zuo Zuo, Jiahao Dong, Yue Gao, Zongze Wu

CoRR, 2024

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP.

Zuo Zuo, Jiahao Dong, Yao Wu, Yanyun Qu, Zongze Wu

CoRR, 2024

CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation.

Zuo Zuo, Jiahao Dong, Yao Wu, Yanyun Qu, Zongze Wu

CoRR, 2024

CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies.

Zuo Zuo, Yao Wu, Baoqiang Li, Jiahao Dong, You Zhou, Lei Zhou, Yanyun Qu, Zongze Wu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Reconstruction-Based Feature Adaptation for Anomaly Detection with Self-Supervised Multi-Scale Aggregation.

Zuo Zuo, Zongze Wu, Badong Chen, Xiaopin Zhong

Proceedings of the IEEE International Conference on Acoustics, 2024