| A feature memory rearrangement network for visual inspection of textured surface defects toward edge intelligent manufacturing H Yao, W Yu, X Wang IEEE Transactions on Automation Science and Engineering 20 (4), 2616-2635, 2022 | 38 | 2022 |
| Learning global-local correspondence with semantic bottleneck for logical anomaly detection H Yao, W Yu, W Luo, Z Qiang, D Luo, X Zhang IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 25 | 2023 |
| Dual-attention transformer and discriminative flow for industrial visual anomaly detection H Yao, W Luo, W Yu, X Zhang, Z Qiang, D Luo, H Shi IEEE Transactions on Automation Science and Engineering 21 (4), 6126-6140, 2023 | 23* | 2023 |
| Normal Reference Attention and Defective Feature Perception Network for Surface Defect Detection W Luo, H Yao, W Yu IEEE Transactions on Instrumentation and Measurement, 2022 | 22 | 2022 |
| Scalable industrial visual anomaly detection with partial semantics aggregation vision transformer H Yao, W Luo, J Lou, W Yu, X Zhang, Z Qiang, H Shi IEEE Transactions on Instrumentation and Measurement 73, 1-17, 2023 | 17* | 2023 |
| GLAGC: Adaptive dual-gamma function for image illumination perception and correction in the wavelet domain W Yu, H Yao, D Li, G Li, H Shi Sensors 21 (3), 845, 2021 | 16 | 2021 |
| Siamese transition masked autoencoders as uniform unsupervised visual anomaly detector H Yao, X Wang, W Yu arXiv preprint arXiv:2211.00349, 2022 | 10 | 2022 |
| AMI-Net: Adaptive mask inpainting network for industrial anomaly detection and localization W Luo, H Yao, W Yu, Z Li IEEE Transactions on Automation Science and Engineering, 2024 | 9 | 2024 |
| Template-based feature aggregation network for industrial anomaly detection W Luo, H Yao, W Yu Engineering Applications of Artificial Intelligence 131, 107810, 2024 | 8 | 2024 |
| Unsupervised defect segmentation via forgetting-inputting-based feature fusion and multiple hierarchical feature difference W Luo, T Niu, H Yao, L Tang, W Yu, B Li IEEE Sensors Journal, 2023 | 8 | 2023 |
| Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection H Yao, Y Cao, W Luo, W Zhang, W Yu, W Shen IEEE Transactions on Industrial Informatics, 2024 | 7 | 2024 |
| PM-AE: Pyramid Memory Autoencoder for Unsupervised Textured Surface Defect Detection H Yao, D Li, Y Zhu, W Yu 2020 5th International Conference on Mechanical, Control and Computer …, 2020 | 3 | 2020 |
| Few-shot unseen defect segmentation for polycrystalline silicon panels with an interpretable dual subspace attention variational learning framework H Yao, W Luo, W Yu, X Zhang, Z Qiang, D Luo, H Shi Advanced Engineering Informatics 62, 102613, 2024 | 2 | 2024 |
| VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling Y Cao, H Yao, W Luo, W Shen IEEE Transactions on Industrial Informatics, 2024 | 1 | 2024 |
| Global-regularized neighborhood regression for efficient zero-shot texture anomaly detection H Yao, W Luo, Y Cao, Y Zhang, W Yu, W Shen arXiv preprint arXiv:2406.07333, 2024 | 1 | 2024 |
| SCL-VI: Self-supervised context learning for visual inspection of industrial defects P Wang, H Yao, W Yu arXiv preprint arXiv:2311.06504, 2023 | 1 | 2023 |
| Multi-similarity and gradient fusion digital twins for fault detection and diagnosis of rolling bearings X Zhang, X Wang, H Yao, W Luo, Z Qiang, D Luo Computers in Industry 168, 104273, 2025 | | 2025 |
| Adversarial contrastive domain-generative learning for bacteria Raman spectrum joint denoising and cross-domain identification H Yao, W Luo, X Wang Engineering Applications of Artificial Intelligence 148, 110426, 2025 | | 2025 |
| Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection W Luo, Y Cao, H Yao, X Zhang, J Lou, Y Cheng, W Shen, W Yu CVPR25, 2025 | | 2025 |
| Self-Calibrated Dual Contrasting for Annotation-Efficient Bacteria Raman Spectroscopy Clustering and Classification H Yao, W Luo, T Zhou, A Gao, X Wang arXiv preprint arXiv:2412.20060, 2024 | | 2024 |
Wei LuoTsinghua UniversityBestätigte E-Mail-Adresse bei mails.tsinghua.edu.cn
