| Deep Industrial Image Anomaly Detection: A Survey J Liu, G Xie, J Wang, S Li, C Wang, F Zheng, Y Jin Machine Intelligence Research 2, 2023 | 165 | 2023 |
| Im-iad: Industrial image anomaly detection benchmark in manufacturing G Xie, J Wang, J Liu, J Lyu, Y Liu, C Wang, F Zheng, Y Jin IEEE Transactions on Cybernetics, 2024 | 70 | 2024 |
| Pushing the limits of fewshot anomaly detection in industry vision: Graphcore G Xie, J Wang, J Liu, F Zheng, Y Jin The Eleventh International Conference on Learning Representations, 2023 | 68 | 2023 |
| FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis J Wang, G Xie, Y Huang, J Lyu, F Zheng, Y Zheng, Y Jin Neurocomputing 546, 126282, 2023 | 60 | 2023 |
| Easynet: An easy network for 3d industrial anomaly detection R Chen, G Xie, J Liu, J Wang, Z Luo, J Wang, F Zheng Proceedings of the 31st ACM International Conference on Multimedia, 7038-7046, 2023 | 34 | 2023 |
| Real3d-ad: A dataset of point cloud anomaly detection J Liu, G Xie, R Chen, X Li, J Wang, Y Liu, C Wang, F Zheng Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 | 33 | 2023 |
| A survey of visual sensory anomaly detection X Jiang, G Xie, J Wang, Y Liu, C Wang, F Zheng, Y Jin arXiv preprint arXiv:2202.07006, 2022 | 19 | 2022 |
| What makes a good data augmentation for few-shot unsupervised image anomaly detection? L Zhang, S Zhang, G Xie, J Liu, H Yan, J Wang, F Zheng, Y Jin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| FedMed-ATL: Misaligned unpaired cross-modality neuroimage synthesis via affine transform loss J Wang, G Xie, Y Huang, Y Zheng, Y Jin, F Zheng Proceedings of the 30th ACM International Conference on Multimedia, 1522-1531, 2022 | 11* | 2022 |
| Tiny adversarial multi-objective one-shot neural architecture search G Xie, J Wang, G Yu, J Lyu, F Zheng, Y Jin Complex & Intelligent Systems 9 (6), 6117-6138, 2023 | 10 | 2023 |
| Cross-modality neuroimage synthesis: A survey G Xie, Y Huang, J Wang, J Lyu, F Zheng, Y Zheng, Y Jin ACM computing surveys 56 (3), 1-28, 2023 | 10 | 2023 |
| Online active calibration for a multi-lrf system G Xie, T Xu, C Isert, M Aeberhard, S Li, M Liu 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 9 | 2015 |
| AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion J Hu, Y Huang, Y Lu, G Xie, G Jiang, Y Zheng, Z Lu arXiv preprint arXiv:2404.19444, 2024 | 3 | 2024 |
| Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning H Zhu, G Xie, C Hou, T Dai, C Gao, J Wang, L Shen Proceedings of the 32nd ACM International Conference on Multimedia, 4680-4689, 2024 | 2 | 2024 |
| Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework Y Cheng, Y Cao, G Xie, Z Lu, W Shen arXiv preprint arXiv:2409.13162, 2024 | 1 | 2024 |
| ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal Z Li, G Xie, G Jiang, Z Lu arXiv preprint arXiv:2404.18433, 2024 | 1 | 2024 |
| Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective K Long, G Xie, L Ma, J Liu, Z Lu arXiv preprint arXiv:2412.17297, 2024 | | 2024 |
| Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection H Liang, G Xie, C Hou, B Wang, C Gao, J Wang arXiv preprint arXiv:2412.13461, 2024 | | 2024 |
| Rethinking Unsupervised Outlier Detection via Multiple Thresholding Z Liu, P Lu, G Xie, Z Lu, WY Lin European Conference on Computer Vision, 258-275, 2024 | | 2024 |
| Few-Shot Image Anomaly Detection in Manufacturing G Xie University of Surrey Guildford, 2023 | | 2023 |
Yaochu Jin, Chair Professor, MAE, Re...Department of Artificial Intelligence, Westlake University, ChinaEmail yang diverifikasi di westlake.edu.cn