| Textboxes: A fast text detector with a single deep neural network M Liao, B Shi, X Bai, X Wang, W Liu Proceedings of the AAAI conference on artificial intelligence (AAAI), 2017 | 1117 | 2017 |
| TextBoxes++: A Single-Shot Oriented Scene Text Detector M Liao, B Shi, X Bai IEEE Transactions on Image Processing 27 (8), 3676-3690, 2018 | 960 | 2018 |
| Real-time Scene Text Detection with Differentiable Binarization M Liao, Z Wan, C Yao, K Chen, X Bai Proceedings of the AAAI conference on artificial intelligence (AAAI) 34 (07 …, 2020 | 835 | 2020 |
| Mask TextSpotter: An end-to-end trainable neural network for spotting text with arbitrary shapes M Liao, P Lyu, M He, C Yao, W Wu, X Bai IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (2), 532-548, 2021 | 765 | 2021 |
| Rotation-Sensitive Regression for Oriented Scene Text Detection M Liao, Z Zhu, B Shi, G Xia, X Bai IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 595 | 2018 |
| Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion M Liao, Z Zou, Z Wan, C Yao, X Bai IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 919-931, 2022 | 332 | 2022 |
| Scene Text Recognition from Two-Dimensional Perspective M Liao, J Zhang, Z Wan, F Xie, J Liang, P Lyu, C Yao, X Bai Proceedings of the AAAI conference on artificial intelligence (AAAI), pp …, 2019 | 287 | 2019 |
| 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 | 272 | 2017 |
| Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting M Liao, G Pang, J Huang, T Hassner, X Bai Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 232 | 2020 |
| Symmetry-constrained Rectification Network for Scene Text Recognition MK Yang, Y Guan, M Liao, X He, K Bian, S Bai, C Yao, X Bai International Conference on Computer Vision (ICCV) 2019, 2019 | 184 | 2019 |
| Shrec16 track: largescale 3d shape retrieval from shapenet core55 M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ... Proceedings of the eurographics workshop on 3D object retrieval 10, 2016 | 170 | 2016 |
| 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 | 166 | 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 | 123 | 2017 |
| MOST: A Multi-Oriented Scene Text Detector with Localization Refinement M He, M Liao, Z Yang, H Zhong, J Tang, W Cheng, C Yao, Y Wang, X Bai IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 112 | 2021 |
| 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 ACM Multimedia, 2022 | 65 | 2022 |
| SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds M Liao, B Song, S Long, M He, C Yao, X Bai SCIENCE CHINA Information Sciences 63 (120105), 2020 | 48 | 2020 |
| Android in the Zoo: Chain-of-Action-Thought for GUI Agents J Zhang, J Wu, Y Teng, M Liao, N Xu, X Xiao, Z Wei, D Tang EMNLP Findings, 2024 | 40 | 2024 |
| TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models YQ Yu, M Liao, J Wu, Y Liao, X Zheng, W Zeng arXiv preprint arXiv:2404.09204, 2024 | 20 | 2024 |
| Scene Text Detection with Scribble Lines W Zhang, Y Qiu, M Liao, R Zhang, X Wei, X Bai 2021 International Conference on Document Analysis and Recognition (ICDAR), 2021 | 14 | 2021 |
| 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 | 13 | 2024 |
Xiang BaiHuazhong University of Science and Technology (HUST)Geverifieerd e-mailadres voor hust.edu.cn