VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation Z Qu, X Tao, M Prasad, F Shen, Z Zhang, X Gong, G Ding European Conference on Computer Vision, 301--317, 2024 | 9 | 2024 |
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation Z Qu, X Tao, F Shen, Z Zhang, T Li IEEE Transactions on Instrumentation and Measurement 72, 1-17, 2023 | 4 | 2023 |
The Second-place Solution for CVPR VISION 23 Challenge Track 1--Data Effificient Defect Detection X Tao, Z Qu, H Luo, J Han, Y He, D Liu, C Lv, F Shen, Z Zhang arXiv preprint arXiv:2306.14116, 2023 | 1 | 2023 |
Method for constructing defect detection model, method for detecting defect and related apparatus X Tao, S Qu, Z Qu US Patent 12,254,612, 2025 | | 2025 |
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection Z Qu, X Tao, X Gong, S Qu, Q Chen, Z Zhang, X Wang, G Ding arXiv preprint arXiv:2503.10080, 2025 | | 2025 |
ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with Feature Reconstruction and Refinement S Qu, X Tao, Z Qu, X Gong, Z Zhang, M Prasad Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 378-391, 2024 | | 2024 |