| MORAN: A multi-object rectified attention network for scene text recognition C Luo, L Jin, Z Sun Pattern Recognition 90, 109-118, 2019 | 482 | 2019 |
| 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 | 317 | 2020 |
| Curved scene text detection via transverse and longitudinal sequence connection Y Liu, L Jin, S Zhang, C Luo, S Zhang Pattern Recognition 90, 337-345, 2019 | 302 | 2019 |
| 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 | 241 | 2021 |
| Icdar2019 robust reading challenge on arbitrary-shaped text-rrc-art CK Chng, Y Liu, Y Sun, CC Ng, C Luo, Z Ni, CM Fang, S Zhang, J Han, ... 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 236 | 2019 |
| ICDAR 2019 competition on large-scale street view text with partial labeling-RRC-LSVT Y Sun, Z Ni, CK Chng, Y Liu, C Luo, CC Ng, J Han, E Ding, J Liu, ... 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 163 | 2019 |
| Learn to augment: Joint data augmentation and network optimization for text recognition C Luo, Y Zhu, L Jin, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 117 | 2020 |
| On the general value of evidence, and bilingual scene-text visual question answering X Wang, Y Liu, C Shen, CC Ng, C Luo, L Jin, CS Chan, A Hengel, L Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 101 | 2020 |
| Feature enhancement network: A refined scene text detector S Zhang, Y Liu, L Jin, C Luo Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 65 | 2018 |
| Look closer to supervise better: One-shot font generation via component-based discriminator Y Kong, C Luo, W Ma, Q Zhu, S Zhu, N Yuan, L Jin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 58 | 2022 |
| Erasenet: End-to-end text removal in the wild C Liu, Y Liu, L Jin, S Zhang, C Luo, Y Wang IEEE Transactions on Image Processing 29, 8760-8775, 2020 | 58 | 2020 |
| ICPR2018 contest on robust reading for multi-type web images M He, Y Liu, Z Yang, S Zhang, C Luo, F Gao, Q Zheng, Y Wang, X Zhang, ... 2018 24th international conference on pattern recognition (ICPR), 7-12, 2018 | 57 | 2018 |
| STAN: A sequential transformation attention-based network for scene text recognition Q Lin, C Luo, L Jin, S Lai Pattern Recognition 111, 107692, 2021 | 54 | 2021 |
| Separating content from style using adversarial learning for recognizing text in the wild C Luo, Q Lin, Y Liu, L Jin, C Shen International Journal of Computer Vision 129, 960-976, 2021 | 44 | 2021 |
| Tightness-aware evaluation protocol for scene text detection Y Liu, L Jin, Z Xie, C Luo, S Zhang, L Xie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 44 | 2019 |
| Adaptive embedding gate for attention-based scene text recognition X Chen, T Wang, Y Zhu, L Jin, C Luo Neurocomputing 381, 261-271, 2020 | 42 | 2020 |
| Siman: Exploring self-supervised representation learning of scene text via similarity-aware normalization C Luo, L Jin, J Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
| Exploring the capacity of an orderless box discretization network for multi-orientation scene text detection Y Liu, T He, H Chen, X Wang, C Luo, S Zhang, C Shen, L Jin International Journal of Computer Vision 129, 1972-1992, 2021 | 31 | 2021 |
| EPAN: Effective parts attention network for scene text recognition Y Huang, Z Sun, L Jin, C Luo Neurocomputing 376, 202-213, 2020 | 30 | 2020 |
| SLOGAN: handwriting style synthesis for arbitrary-length and out-of-vocabulary text C Luo, Y Zhu, L Jin, Z Li, D Peng IEEE transactions on neural networks and learning systems 34 (11), 8503-8515, 2022 | 29 | 2022 |
Lianwen JinProfessor of Electronic and Information Engineering, South China University of TechnologyPotvrđena adresa e-pošte na scut.edu.cn
