World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
100
Citations
46661
World Ranking
366
National Ranking
43

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to shape representation, contextual visual similarity, and camera-based document analysis

Overview

Xiang Bai is affiliated with Huazhong University of Science and Technology in China. Their research primarily focuses on the fields of computer science, with a strong emphasis on computer vision and pattern recognition, alongside notable contributions to artificial intelligence, media technology, electrical and electronic engineering, and radiology, nuclear medicine, and imaging.

The scientist has published extensively on various topics, including:

  • Handwritten Text Recognition Techniques
  • Advanced Image and Video Retrieval Techniques
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Image Processing and 3D Reconstruction
  • Image Retrieval and Classification Techniques

Xiang Bai's recent publications illustrate a focus on object detection, scene text detection, and driving perception tasks. Selected recent papers include:

  • Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Real-Time Scene Text Detection with Differentiable Binarization, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • End-to-End Semi-Supervised Object Detection with Soft Teacher, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • TANet: Robust 3D Object Detection from Point Clouds with Triple Attention, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • YOLOP: You Only Look Once for Panoptic Driving Perception, 2022, Machine Intelligence Research

The scientist frequently collaborates with several coauthors including Yuliang Liu, Dingkang Liang, Song Bai, Lianwen Jin, and Xiaoqing Ye. These collaborations often contribute to a significant share of Xiang Bai's research output.

Xiang Bai's work has been published extensively in well-known venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal
  • IEEE Transactions on Image Processing
  • Science China Information Sciences

In 2020, Xiang Bai was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) for contributions to shape representation, contextual visual similarity, and camera-based document analysis.

Best Publications

  • An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

    Baoguang Shi;Xiang Bai;Cong Yao

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • TextBoxes: a fast text detector with a single deep neural network

    Minghui Liao;Baoguang Shi;Xiang Bai;Xinggang Wang

  • Detecting texts of arbitrary orientations in natural images

    Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

  • TextBoxes++: A Single-Shot Oriented Scene Text Detector.

    Minghui Liao;Baoguang Shi;Xiang Bai

  • Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection

    Yongchao Xu;Mingtao Fu;Qimeng Wang;Yukang Wang

  • Richer Convolutional Features for Edge Detection

    Yun Liu;Ming-Ming Cheng;Xiaowei Hu;Jia-Wang Bian

  • ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

    Baoguang Shi;Mingkun Yang;Xinggang Wang;Pengyuan Lyu

  • Real-Time Scene Text Detection with Differentiable Binarization

    Minghui Liao;Zhaoyi Wan;Cong Yao;Kai Chen

  • Detecting Oriented Text in Natural Images by Linking Segments

    Baoguang Shi;Xiang Bai;Serge Belongie

  • Robust Scene Text Recognition with Automatic Rectification

    Baoguang Shi;Xinggang Wang;Pengyuan Lyu;Cong Yao

  • Asymmetric Non-Local Neural Networks for Semantic Segmentation

    Zhen Zhu;Mengdu Xu;Song Bai;Tengteng Huang

  • Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

    Zhuowen Tu;Xiang Bai

  • Multi-oriented Text Detection with Fully Convolutional Networks

    Zheng Zhang;Chengquan Zhang;Wei Shen;Cong Yao

  • DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection

    Wei Shen;Xinggang Wang;Yan Wang;Xiang Bai

  • Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution

    Xiang Bai;L.J. Latecki;Wen-Yu Liu

  • Rotation-Sensitive Regression for Oriented Scene Text Detection

    Minghui Liao;Zhen Zhu;Baoguang Shi;Gui-song Xia

  • Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

    Pengyuan Lyu;Minghui Liao;Cong Yao;Wenhao Wu

  • Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

    Minghui Liao;Pengyuan Lyu;Minghang He;Cong Yao

Frequent Co-Authors

Wenyu Liu
Wenyu Liu Huazhong University of Science and Technology
Song Bai
Song Bai ByteDance
Longin Jan Latecki
Longin Jan Latecki Temple University
Cong Yao
Cong Yao Alibaba Group (China)
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Wei Shen
Wei Shen Johns Hopkins University
Gui-Song Xia
Gui-Song Xia Wuhan University
Qi Tian
Qi Tian Huawei Technologies (China)
Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online associate degree options can be a fast and affordable way to start your journey in computer science. These programs introduce foundational skills and let you transfer credits towards a bachelor’s degree later on.

If you’re considering advancing quickly, some schools offer the shortest masters degree programs online, which can be completed in as little as one year. This pathway is ideal for working professionals seeking to upskill or shift careers swiftly.

Choosing the right graduate program is essential. Review the what masters program should i do guide to learn about the most in-demand specializations, such as data science, cybersecurity, and software engineering.

Those concerned about costs will find many programs among the cheapest online college options, making a degree in computer science much more attainable. With so many flexible online choices, you can find a program that matches your career goals and budget.

Best Scientists Citing Xiang Bai

Trending Scientists

Recently Published Articles