| Aster: An attentional scene text recognizer with flexible rectification B Shi, M Yang, X Wang, P Lyu, C Yao, X Bai IEEE transactions on pattern analysis and machine intelligence 41 (9), 2035-2048, 2018 | 924 | 2018 |
| Deep-person: Learning discriminative deep features for person re-identification X Bai, M Yang, T Huang, Z Dou, R Yu, Y Xu Pattern Recognition 98, 107036, 2020 | 283 | 2020 |
| Icdar2017 competition on reading chinese text in the wild (rctw-17) B Shi, C Yao, M Liao, M Yang, P Xu, L Cui, S Belongie, S Lu, X Bai 2017 14th iapr international conference on document analysis and recognition …, 2017 | 271 | 2017 |
| Symmetry-constrained rectification network for scene text recognition M Yang, Y Guan, M Liao, X He, K Bian, S Bai, C Yao, X Bai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 184 | 2019 |
| Icdar 2019 robust reading challenge on reading chinese text on signboard R Zhang, Y Zhou, Q Jiang, Q Song, N Li, K Zhou, L Wang, D Wang, ... 2019 international conference on document analysis and recognition (ICDAR …, 2019 | 180 | 2019 |
| All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting H Wang, P Lu, H Zhang, M Yang, X Bai, Y Xu, M He, Y Wang, W Liu AAAI 2020, 2019 | 154 | 2019 |
| Cascaded segmentation-detection networks for text-based traffic sign detection Y Zhu, M Liao, M Yang, W Liu IEEE transactions on intelligent transportation systems 19 (1), 209-219, 2017 | 122 | 2017 |
| Few could be better than all: Feature sampling and grouping for scene text detection J Tang, W Zhang, H Liu, MK Yang, B Jiang, G Hu, X Bai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 100 | 2022 |
| Integrating scene text and visual appearance for fine-grained image classification X Bai, M Yang, P Lyu, Y Xu, J Luo IEEE Access 6, 66322-66335, 2018 | 96* | 2018 |
| AutoSTR: Efficient Backbone Search for Scene Text Recognition H Zhang, Q Yao, M Yang, Y Xu, X Bai ECCV 2020, 2020 | 68 | 2020 |
| Reading and writing: Discriminative and generative modeling for self-supervised text recognition M Yang, M Liao, P Lu, J Wang, S Zhu, H Luo, Q Tian, X Bai Proceedings of the 30th ACM International Conference on Multimedia, 4214-4223, 2022 | 65 | 2022 |
| Improving OCR-based image captioning by incorporating geometrical relationship J Wang, J Tang, M Yang, X Bai, J Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 49 | 2021 |
| Scene text retrieval via joint text detection and similarity learning H Wang, X Bai, M Yang, S Zhu, J Wang, W Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 47 | 2021 |
| Visual information extraction in the wild: practical dataset and end-to-end solution J Kuang, W Hua, D Liang, M Yang, D Jiang, B Ren, X Bai International Conference on Document Analysis and Recognition, 36-53, 2023 | 37 | 2023 |
| Deep learning for scene text detection and recognition X Bai, M Yang, B Shi, M Liao SCIENTIA SINICA Informationis 48 (5), 531-544, 2018 | 13 | 2018 |
| Class-aware mask-guided feature refinement for scene text recognition M Yang, B Yang, M Liao, Y Zhu, X Bai Pattern Recognition 149, 110244, 2024 | 12 | 2024 |
| Cost-effective adversarial attacks against scene text recognition M Yang, H Zheng, X Bai, J Luo 2020 25th International Conference on Pattern Recognition (ICPR), 2368-2374, 2021 | 12 | 2021 |
| Sequential visual and semantic consistency for semi-supervised text recognition M Yang, B Yang, M Liao, Y Zhu, X Bai Pattern Recognition Letters 178, 174-180, 2024 | 2 | 2024 |
| Textrec: A dataset for referring expression comprehension with reading comprehension C Gao, B Yang, H Wang, M Yang, W Yu, Y Liu, X Bai International Conference on Document Analysis and Recognition, 402-420, 2023 | 2 | 2023 |
| Not All Texts Are the Same: Dynamically Querying Texts for Scene Text Detection L Tang, P Yi, M Chen, MK Yang, D Liang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 363-377, 2024 | 1 | 2024 |
Xiang BaiHuazhong University of Science and Technology (HUST)E-mailová adresa ověřena na: hust.edu.cn