World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
16805
World Ranking
9024
National Ranking
1159

Overview

Cong Yao is affiliated with Alibaba Group (China) and has contributed extensively to research in the fields of computer science and medicine. Their publications span various topics including computer vision, artificial intelligence, and mental health disciplines.

The main fields of study for Cong Yao consist of:

  • Computer Science
  • Medicine

Their research within computer science particularly focuses on subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

In medicine, the subfields include:

  • Psychiatry and Mental Health
  • Biological Psychiatry
  • Epidemiology

Key research topics covered in their work include:

  • Handwritten Text Recognition Techniques
  • Advanced Image and Video Retrieval Techniques
  • Schizophrenia Research and Treatment
  • Image Processing and 3D Reconstruction
  • Image Retrieval and Classification Techniques
  • Natural Language Processing Techniques
  • Tryptophan and Brain Disorders

Cong Yao has published frequently in venues such as:

  • arXiv (Cornell University)
  • Journal of Neural Transmission
  • Journal of Affective Disorders
  • Pattern Recognition
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among Cong Yao's recent publications are the following:

  • Real-Time Scene Text Detection with Differentiable Binarization, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Scene Text Detection and Recognition: The Deep Learning Era, 2020, International Journal of Computer Vision
  • Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • TextScanner: Reading Characters in Order for Robust Scene Text Recognition, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SynthText3D: synthesizing scene text images from 3D virtual worlds, 2020, Science China Information Sciences

Frequent collaborators with Cong Yao include:

  • Zhibo Yang
  • Xiang Bai
  • Zhaoyi Wan
  • Guoshuai Luo
  • Meijuan Li

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

  • EAST: An Efficient and Accurate Scene Text Detector

    Xinyu Zhou;Cong Yao;He Wen;Yuzhi Wang

  • Detecting texts of arbitrary orientations in natural images

    Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

  • 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

  • Robust Scene Text Recognition with Automatic Rectification

    Baoguang Shi;Xinggang Wang;Pengyuan Lyu;Cong Yao

  • Multi-oriented Text Detection with Fully Convolutional Networks

    Zheng Zhang;Chengquan Zhang;Wei Shen;Cong Yao

  • TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

    Shangbang Long;Jiaqiang Ruan;Wenjie Zhang;Xin He

  • 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

  • Scene text detection and recognition: recent advances and future trends

    Yingying Zhu;Cong Yao;Xiang Bai

  • Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion

    Unknown

  • Scene Text Detection and Recognition: The Deep Learning Era

    Shangbang Long;Xin He;Cong Yao

  • Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation

    Pengyuan Lyu;Cong Yao;Wenhao Wu;Shuicheng Yan

  • A unified framework for multioriented text detection and recognition.

    Cong Yao;Xiang Bai;Wenyu Liu

  • Strokelets: A Learned Multi-scale Representation for Scene Text Recognition

    Cong Yao;Xiang Bai;Baoguang Shi;Wenyu Liu

  • Symmetry-based text line detection in natural scenes

    Zheng Zhang;Wei Shen;Cong Yao;Xiang Bai

  • Scene Text Recognition from Two-Dimensional Perspective

    Minghui Liao;Jian Zhang;Zhaoyi Wan;Fengming Xie

  • Scene Text Detection via Holistic, Multi-Channel Prediction

    Cong Yao;Xiang Bai;Nong Sang;Xinyu Zhou

  • ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)

    Baoguang Shi;Cong Yao;Minghui Liao;Mingkun Yang

  • Scene Text Detection with Supervised Pyramid Context Network

    Enze Xie;Yuhang Zang;Shuai Shao;Gang Yu

Frequent Co-Authors

Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Wenyu Liu
Wenyu Liu Huazhong University of Science and Technology
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Kaigui Bian
Kaigui Bian Peking University
Song Bai
Song Bai ByteDance
Wei Shen
Wei Shen Johns Hopkins University
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Jiebo Luo
Jiebo Luo University of Rochester
Bin Zhang
Bin Zhang Icahn School of Medicine at Mount Sinai
Zhengmin Qian
Zhengmin Qian Saint Louis University

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