Decoupled attention network for text recognition T Wang, Y Zhu, L Jin, C Luo, X Chen, Y Wu, Q Wang, M Cai Proceedings of the AAAI conference on artificial intelligence 34 (07), 12216 …, 2020 | 328 | 2020 |
Text recognition in the wild: A survey X Chen, L Jin, Y Zhu, C Luo, T Wang ACM Computing Surveys (CSUR) 54 (2), 1-35, 2021 | 256 | 2021 |
Radical aggregation network for few-shot offline handwritten Chinese character recognition T Wang, Z Xie, Z Li, L Jin, X Chen Pattern Recognition Letters 125, 821-827, 2019 | 79 | 2019 |
Conditional text image generation with diffusion models Y Zhu, Z Li, T Wang, M He, C Yao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 58 | 2023 |
Adaptive embedding gate for attention-based scene text recognition X Chen, T Wang, Y Zhu, L Jin, C Luo Neurocomputing 381, 261-271, 2020 | 45 | 2020 |
Tag, copy or predict: A unified weakly-supervised learning framework for visual information extraction using sequences J Wang, T Wang, G Tang, L Jin, W Ma, K Ding, Y Huang arXiv preprint arXiv:2106.10681, 2021 | 16 | 2021 |
Implicit feature alignment: learn to convert text recognizer to text spotter T Wang, Y Zhu, L Jin, D Peng, Z Li, M He, Y Wang, C Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 15 | 2021 |
SaHAN: Scale-aware hierarchical attention network for scene text recognition J Zhang, C Luo, L Jin, T Wang, Z Li, W Zhou Pattern Recognition Letters 136, 205-211, 2020 | 14 | 2020 |
Chaco: character contrastive learning for handwritten text recognition X Zhang, T Wang, J Wang, L Jin, C Luo, Y Xue International Conference on Frontiers in Handwriting Recognition, 345-359, 2022 | 5 | 2022 |
A Multi-level Progressive Rectification Mechanism for Irregular Scene Text Recognition Q Liao, Q Lin, L Jin, C Luo, J Zhang, D Peng, T Wang Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 2 | 2021 |