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Computer Science

D-Index
57
Citations
12692
World Ranking
3851
National Ranking
515

Overview

Ke Gu is affiliated with Beijing University of Technology in China and has produced a substantial body of research primarily in the fields of computer science and engineering. Their work spans 66 publications in computer science and 28 in engineering, with a focus on subfields such as computer vision and pattern recognition, media technology, environmental engineering, artificial intelligence, and water science and technology.

Their research covers several key topics including image and video quality assessment, advanced image fusion techniques, image enhancement techniques, visual attention and saliency detection, advanced image processing techniques, water quality monitoring technologies, and machine learning and extreme learning machines (ELM).

Frequent publication venues for Ke Gu include:

  • IEEE Transactions on Multimedia
  • arXiv (Cornell University)
  • ACM Transactions on Multimedia Computing Communications and Applications
  • Advanced Healthcare Materials
  • IEEE Transactions on Instrumentation and Measurement

Ke Gu's notable recent papers include:

  • "Screen Content Quality Assessment: Overview, Benchmark, and Beyond" (2021) published in ACM Computing Surveys
  • "PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning" (2021) published in IEEE Transactions on Neural Networks and Learning Systems
  • "Blind Image Quality Assessment by Natural Scene Statistics and Perceptual Characteristics" (2020) published in ACM Transactions on Multimedia Computing Communications and Applications
  • "Semi-Reference Sonar Image Quality Assessment Based on Task and Visual Perception" (2020) published in IEEE Transactions on Multimedia
  • "Vision-Based Monitoring of Flare Soot" (2020) published in IEEE Transactions on Instrumentation and Measurement

Several researchers frequently collaborate with Ke Gu, including Chengxu Zhou, Hongyan Liu, Junfei Qiao, Guangtao Zhai, and Xiaokang Yang.

Ke Gu has also contributed to book publications, including a work published by Springer International Publishing titled "Quality Assessment of Visual Content" (2022).

Best Publications

  • Using free energy principle for blind image quality assessment

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Blind Image Quality Estimation via Distortion Aggravation

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yutao Liu

  • Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

    Ke Gu;Dacheng Tao;Jun-Fei Qiao;Weisi Lin

  • 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 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

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • Objective Quality Evaluation of Dehazed Images

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Xiaokang Yang

  • 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

  • A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures

    Ke Gu;Leida Li;Hong Lu;Xiongkuo Min

  • Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yucheng Zhu

  • Deep Dual-Channel Neural Network for Image-Based Smoke Detection

    Ke Gu;Zhifang Xia;Junfei Qiao;Weisi Lin

  • Optimizing Multistage Discriminative Dictionaries for Blind Image Quality Assessment

    Qiuping Jiang;Feng Shao;Weisi Lin;Ke Gu

  • MC360IQA: A Multi-channel CNN for Blind 360-Degree Image Quality Assessment

    Wei Sun;Xiongkuo Min;Guangtao Zhai;Ke Gu

  • Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors

    Ke Gu;Junfei Qiao;Weisi Lin

  • Analysis of Distortion Distribution for Pooling in Image Quality Prediction

    Ke Gu;Shiqi Wang;Guangtao Zhai;Weisi Lin

Frequent Co-Authors

Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Weisi Lin
Weisi Lin Nanyang Technological University
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Junfei Qiao
Junfei Qiao Beijing University of Technology
Shiqi Wang
Shiqi Wang City University of Hong Kong
Xiongkuo Min
Xiongkuo Min Shanghai Jiao Tong University
Siwei Ma
Siwei Ma Peking University
Wen Gao
Wen Gao Peking University
Patrick Le Callet
Patrick Le Callet University of Nantes

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