| Towards better long-tailed oracle character recognition with adversarial data augmentation J Li, QF Wang, K Huang, X Yang, R Zhang, JY Goulermas Pattern Recognition 140, 109534, 2023 | 29 | 2023 |
| Mix-up augmentation for oracle character recognition with imbalanced data distribution J Li, QF Wang, R Zhang, K Huang Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 18 | 2021 |
| Improving Script Identification by Integrating Text Recognition Information. Y Cao, J Li, QF Wang, K Huang, R Zhang Aust. J. Intell. Inf. Process. Syst. 16 (3), 67-75, 2019 | 4 | 2019 |
| Decoupled Learning for Long-Tailed Oracle Character Recognition J Li, B Dong, QF Wang, L Ding, R Zhang, K Huang International Conference on Document Analysis and Recognition, 165-181, 2023 | 3 | 2023 |
| Adversarial rectification network for scene text regularization J Li, QF Wang, R Zhang, K Huang Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 3 | 2020 |
| Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents J Li, QF Wang, K Huang, R Zhang, S Wang arXiv preprint arXiv:2312.13631, 2023 | 2 | 2023 |
| A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond J Li, X Chi, Q Wang, D Wang, K Huang, Y Liu, C Liu arXiv preprint arXiv:2411.11354, 2024 | | 2024 |
