| Catching both gray and black swans: Open-set supervised anomaly detection C Ding, G Pang, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 83 | 2022 |
| Explainable deep few-shot anomaly detection with deviation networks G Pang, C Ding, C Shen, A Hengel arXiv preprint arXiv:2108.00462, 2021 | 74 | 2021 |
| Residual pattern learning for pixel-wise out-of-distribution detection in semantic segmentation Y Liu, C Ding, Y Tian, G Pang, V Belagiannis, I Reid, G Carneiro Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 23 | 2023 |
| Anomaly heterogeneity learning for open-set supervised anomaly detection J Zhu, C Ding, Y Tian, G Pang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure C Ding, G Pang arXiv preprint arXiv:2406.01170, 2024 | 1 | 2024 |
| Background Matters: Enhancing Out-of-distribution Detection with Domain Features C Ding, G Pang, C Shen arXiv preprint arXiv:2303.08727, 2023 | | 2023 |
| Improving Open-World Classification with Disentangled Foreground and Background Features C Ding, G Pang ACM Multimedia 2024, 0 | | |
| Supplementary Materials of “Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection” J Zhu, C Ding, Y Tian, G Pang | | |
Guansong PangAssistant Professor of Computer Science, Singapore Management University在 smu.edu.sg 的电子邮件经过验证
