World's Best Scientists 2026 revealed!

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Computer Science

D-Index
54
Citations
10879
World Ranking
4603
National Ranking
617

Overview

Yuming Fang is affiliated with Jiangxi University of Finance and Economics in China. Their research focuses primarily on computer science and engineering, with significant contributions in the subfields of computer vision and pattern recognition, media technology, artificial intelligence, aerospace engineering, and biomedical engineering.

The scientist's work covers several main topics including:

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

Yuming Fang has published extensively, with a focus on image processing and video technology. They have contributed 38 publications to arXiv (Cornell University), 24 to IEEE Transactions on Circuits and Systems for Video Technology, 18 to IEEE Transactions on Image Processing, 11 to IEEE Transactions on Multimedia, and 8 to the Journal of Image and Graphics.

Recent notable papers by Yuming Fang include:

  • "Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images," 2020, IEEE Transactions on Image Processing
  • "Single Image Deraining: From Model-Based to Data-Driven and Beyond," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality," 2021, IEEE Transactions on Image Processing
  • "A visually secure image encryption scheme based on semi-tensor product compressed sensing," 2020, Signal Processing
  • "Omnidirectional Image Quality Assessment by Distortion Discrimination Assisted Multi-Stream Network," 2021, IEEE Transactions on Circuits and Systems for Video Technology

The scientist's frequent collaborators include Jiebin Yan, Yifan Zuo, Wenying Wen, Wenhui Jiang, and Yushu Zhang, reflecting a consistent engagement with peers in relevant fields.

Best Publications

  • From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

    Wenhan Yang;Shiqi Wang;Yuming Fang;Yue Wang

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

    Yuming Fang;Kede Ma;Zhou Wang;Weisi Lin

  • Saliency Detection in the Compressed Domain for Adaptive Image Retargeting

    Yuming Fang;Zhenzhong Chen;Weisi Lin;Chia-Wen Lin

  • Perceptual Quality Assessment of Smartphone Photography

    Yuming Fang;Hanwei Zhu;Yan Zeng;Kede Ma

  • Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

    Qijian Zhang;Runmin Cong;Chongyi Li;Ming-Ming Cheng

  • Single Image Deraining: From Model-Based to Data-Driven and Beyond

    Wenhan Yang;Robby T. Tan;Shiqi Wang;Yuming Fang

  • A Saliency Detection Model Using Low-Level Features Based on Wavelet Transform

    N. Imamoglu;Weisi Lin;Yuming Fang

  • A Video Saliency Detection Model in Compressed Domain

    Yuming Fang;Weisi Lin;Zhenzhong Chen;Chia-Ming Tsai

  • No-Reference Quality Assessment for Multiply-Distorted Images in Gradient Domain

    Qiaohong Li;Weisi Lin;Yuming Fang

  • Perceptual Quality Assessment of Screen Content Images

    Huan Yang;Yuming Fang;Weisi Lin

  • Video Saliency Incorporating Spatiotemporal Cues and Uncertainty Weighting

    Yuming Fang;Zhou Wang;Weisi Lin;Zhijun Fang

  • Saliency-Based Defect Detection in Industrial Images by Using Phase Spectrum

    Xiaolong Bai;Yuming Fang;Weisi Lin;Lipo Wang

  • Blind Image Quality Assessment Using Statistical Structural and Luminance Features

    Qiaohong Li;Weisi Lin;Jingtao Xu;Yuming Fang

  • Saliency Detection for Stereoscopic Images

    Yuming Fang;Junle Wang;Manish Narwaria;Patrick Le Callet

  • Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality

    Wenhan Yang;Shiqi Wang;Yuming Fang;Yue Wang

  • Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum

    Yuming Fang;Weisi Lin;Bu-Sung Lee;Chiew-Tong Lau

  • Deep Guided Learning for Fast Multi-Exposure Image Fusion

    Kede Ma;Zhengfang Duanmu;Hanwei Zhu;Yuming Fang

  • Weakly Supervised Video Anomaly Detection via Center-Guided Discriminative Learning

    Boyang Wan;Yuming Fang;Xue Xia;Jiajie Mei

  • No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features

    Leida Li;Wenhan Xia;Weisi Lin;Yuming Fang

  • Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

    Xuehao Wang;Shuai Li;Chenglizhao Chen;Yuming Fang

  • Objective Quality Assessment for Image Retargeting Based on Structural Similarity

    Yuming Fang;Kai Zeng;Zhou Wang;Weisi Lin

  • No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation

    Yuming Fang;Jiebin Yan;Leida Li;Jinjian Wu

Frequent Co-Authors

Weisi Lin
Weisi Lin Nanyang Technological University
Kede Ma
Kede Ma City University of Hong Kong
Chia-Wen Lin
Chia-Wen Lin National Tsing Hua University
Jiaying Liu
Jiaying Liu Peking University
Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Shiqi Wang
Shiqi Wang City University of Hong Kong
Zhou Wang
Zhou Wang University of Waterloo
Zhenzhong Chen
Zhenzhong Chen Wuhan University
Patrick Le Callet
Patrick Le Callet University of Nantes
Jinjian Wu
Jinjian Wu Xidian University

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