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Computer Science

D-Index
71
Citations
21901
World Ranking
1766
National Ranking
241

Overview

Guangtao Zhai is affiliated with Shanghai Jiao Tong University in China. Their research primarily spans the field of Computer Science, with a specialization in subfields such as Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

The scientist's work covers several main topics, including:

  • Image and Video Quality Assessment
  • Visual Attention and Saliency Detection
  • Advanced Image Fusion Techniques
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Image and Signal Denoising Methods
  • Advanced Vision and Imaging

Guangtao Zhai's notable recent publications include:

  • Perceptual image quality assessment: a survey, 2020, Science China Information Sciences

Frequent co-authors collaborating with Guangtao Zhai are:

  • Xiongkuo Min
  • Zicheng Zhang
  • Wei Sun
  • Huiyu Duan
  • Xiaokang Yang

The main venues where Guangtao Zhai has published include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • ACM Transactions on Multimedia Computing Communications and Applications

Guangtao Zhai has contributed to several book publications under Springer Science+Business Media. Among these are multiple editions and versions of titles focused on Artificial Intelligence and digital multimedia communications, published between 2020 and 2024.

Best Publications

  • Using free energy principle for blind image quality assessment

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.

    Jiangwei Lao;Yinsheng Chen;Zhi-Cheng Li;Qihua Li

  • Perceptual image quality assessment: a survey

    Unknown

  • Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild

    Weixia Zhang;Kede Ma;Guangtao Zhai;Xiaokang Yang

  • Blind Image Quality Estimation via Distortion Aggravation

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yutao Liu

  • Blind Quality Assessment Based on Pseudo-Reference Image

    Xiongkuo Min;Ke Gu;Guangtao Zhai;Jing Liu

  • The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement

    Ke Gu;Guangtao Zhai;Weisi Lin;Min Liu

  • No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics

    Yuming Fang;Kede Ma;Zhou Wang;Weisi Lin

  • No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • No-Reference Image Sharpness Assessment in Autoregressive Parameter Space

    Ke Gu;Guangtao Zhai;Weisi Lin;Xiaokang Yang

  • Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images

    Xiongkuo Min;Kede Ma;Ke Gu;Guangtao Zhai

  • A Psychovisual Quality Metric in Free-Energy Principle

    Guangtao Zhai;Xiaolin Wu;Xiaokang Yang;Weisi Lin

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • Study of Subjective and Objective Quality Assessment of Audio-Visual Signals

    Xiongkuo Min;Guangtao Zhai;Jiantao Zhou;Mylene C. Q. Farias

  • Objective Quality Evaluation of Dehazed Images

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Xiaokang Yang

  • A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence

    Xiongkuo Min;Guangtao Zhai;Jiantao Zhou;Xiao-Ping Zhang

  • No-Reference Quality Assessment of Screen Content Pictures

    Ke Gu;Jun Zhou;Jun-Fei Qiao;Guangtao Zhai

  • Hybrid No-Reference Quality Metric for Singly and Multiply Distorted Images

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure

    Ke Gu;Shiqi Wang;Guangtao Zhai;Siwei Ma

  • Automatic Contrast Enhancement Technology With Saliency Preservation

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yucheng Zhu

  • Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner

    Yunlu Wang;Menghan Hu;Qingli Li;Xiao-Ping Zhang

Frequent Co-Authors

Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Ke Gu
Ke Gu Beijing University of Technology
Xiongkuo Min
Xiongkuo Min Shanghai Jiao Tong University
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Weisi Lin
Weisi Lin Nanyang Technological University
Jiantao Zhou
Jiantao Zhou University of Macau
Xiaolin Wu
Xiaolin Wu McMaster University
Ali Borji
Ali Borji Quintic AI
Patrick Le Callet
Patrick Le Callet University of Nantes
Debin Zhao
Debin Zhao Harbin Institute of Technology

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