My name is Minghui Liao (廖明辉). I am now a researcher in Huawei Cloud. I received my PhD degree in 2021, supervised by Professor Xiang Bai, in VLR Group, Huazhong University of Science and Technology, China. My recent works are mainly on scene text detection and recognition.

My Google Scholar Homepage

News

• One paper is accepted by ACM MM 2022.

Experience

• Researcher: Huawei Cloud, 2021–now
• Visiting Student：Johns Hopkins University, with Professor Alan Yuille (2019.12–2020.12)
• Research Intern：Facebook (2019.5–2019.9)
• Research Intern：Megvii (Face++) (2018.3–2019.3)

Education

• PhD：Huazhong University of Science and Technology (2017–2021)

• MA：Huazhong University of Science and Technology (2016–2017)

• BA：Huazhong University of Science and Technology (2012–2016)

Selected publications

• Mingkun Yang, Minghui Liao, Pu Lu, Jing Wang, Shenggao Zhu, Hualin Luo, Qi Tian, Xiang Bai, “Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition”. ACM MM, 2022. Co-first author

• Minghui Liao, Zhisheng Zou, Zhaoyi Wan, Cong Yao, Xiang Bai, “Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion”. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. code

• Minghang He, Minghui Liao, Zhibo Yang, Humen Zhong, Jun Tang, Wenqing Cheng, Cong Yao, Yongpan Wang, Xiang Bai, “MOST: A Multi-Oriented Scene Text Detector with Localization Refinement”. CVPR, 2021. Co-first author

• Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai, “Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting”. ECCV, 2020. code

• Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, Xiang Bai, “Real-time Scene Text Detection with Differentiable Binarization”. AAAI, 2020. oral presentation code

• Minghui Liao, Boyu Song, Minghang He, Shangbang Long, Cong Yao, Xiang Bai, “SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds”. SCIS 2020. code and data

• Minghui Liao, Pengyuan Lyu, Minghang He, Cong Yao, Wenhao Wu, Xiang Bai, “Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes”. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) code

• MingKun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai, “Symmetry-constrained Rectification Network for Scene Text Recognition”. International Conference on Computer Vision (ICCV), 2019

• Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai, “Scene Text Recognition from Two-Dimensional Perspective”. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019 oral presentation

• Pengyuan Lyu, Minghui Liao, Cong Yao, Wenhao Wu, Xiang Bai, “Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes”. European Conference on Computer Vision (ECCV), 2018, pp. 67-83. Co-first author code

• Minghui Liao, Zhen Zhu, Baoguang Shi, Gui-song Xia, Xiang Bai, “Rotation-Sensitive Regression for Oriented Scene Text Detection”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 5909-5918. code

• Minghui Liao, Baoguang Shi, Xiang Bai, “TextBoxes++: A Single-Shot Oriented Scene Text Detector”. IEEE Transactions on Image Processing (TIP), 2018, 27(8): 3676-3690. code

• Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu, “Textboxes: A fast text detector with a single deep neural network”. Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017, pp. 4161-4167. oral presentation code

• Yingying Zhu, Minghui Liao, Mingkun Yang, Wenyu Liu, “Cascaded segmentation-detection networks for text-based traffic sign detection”. IEEE transactions on intelligent transportation systems, 2018, 19(1): 209-219.

• Baoguang Shi, Cong Yao, Minghui Liao, Mingkun Yang, Pei Xu, Linyan Cui, Serge Belongie, Shijian Lu, Xiang Bai, “ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)”. 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017, 1: 1429-1434.

Achievements and Rewards

• 2021：CSIG自然科学奖一等奖
• 2021: AI华人新星百强
• 2019: National Scholarship for PhD Student
• 2019: VALSE Annual Outstanding Student Paper Award Honorable Mention
• 2018：CCF-CV Scholarship for PhD student
• 2017：National Scholarship for Master Student