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Computer Science

D-Index
37
Citations
5775
World Ranking
10764
National Ranking
1327

Overview

Jinjian Wu is affiliated with Xidian University in China and has contributed extensively to research in computer science and engineering, with a particular focus on computer vision and pattern recognition. Their work spans multiple subfields, including media technology, artificial intelligence, electrical and electronic engineering, and cognitive neuroscience.

Their primary research interests include image and video quality assessment, advanced image processing techniques, advanced image fusion techniques, image enhancement techniques, image and signal denoising methods, visual attention and saliency detection, and advanced vision and imaging.

Jinjian Wu has authored and co-authored numerous papers, among which notable recent publications include:

  • End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network, 2020, IEEE Transactions on Image Processing
  • Model-Guided Deep Hyperspectral Image Super-Resolution, 2021, IEEE Transactions on Image Processing
  • Blind Image Quality Assessment With Active Inference, 2021, IEEE Transactions on Image Processing
  • Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization, 2022, IEEE Transactions on Computational Imaging
  • Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification, 2024, IEEE Transactions on Geoscience and Remote Sensing

These publications demonstrate an ongoing focus on image quality assessment, hyperspectral imaging, and deep learning techniques applied to image processing challenges.

Jinjian Wu has collaborated frequently with multiple co-authors, including:

  • Guangming Shi
  • Leida Li
  • Weisheng Dong
  • Xin Li
  • Pengfei Chen

Their work has appeared in several well-regarded publication venues, with multiple contributions to:

  • IEEE Transactions on Circuits and Systems for Video Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Geoscience and Remote Sensing

Throughout their career, Jinjian Wu has contributed to advancing techniques related to image enhancement, fusion, and quality evaluation, reflecting a comprehensive expertise within the domain of visual computing and imaging sciences.

Best Publications

  • Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation

    Weisheng Dong;Fazuo Fu;Guangming Shi;Xun Cao

  • MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment

    Hancheng Zhu;Leida Li;Jinjian Wu;Weisheng Dong

  • Perceptual Quality Metric With Internal Generative Mechanism

    Jinjian Wu;Weisi Lin;Guangming Shi;Anmin Liu

  • Feature-fused SSD: fast detection for small objects

    Guimei Cao;Xuemei Xie;Wenzhe Yang;Quan Liao

  • Model-Guided Deep Hyperspectral Image Super-Resolution

    Weisheng Dong;Chen Zhou;Fangfang Wu;Jinjian Wu

  • Reduced-Reference Image Quality Assessment With Visual Information Fidelity

    Jinjian Wu;Weisi Lin;Guangming Shi;Anmin Liu

  • Enhanced Just Noticeable Difference Model for Images With Pattern Complexity

    Jinjian Wu;Leida Li;Weisheng Dong;Guangming Shi

  • Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging

    Tao Huang;Weisheng Dong;Xin Yuan;Jinjian Wu

  • End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network

    Jinjian Wu;Jupo Ma;Fuhu Liang;Weisheng Dong

  • Just Noticeable Difference Estimation for Images With Free-Energy Principle

    Jinjian Wu;Guangming Shi;Weisi Lin;Anmin Liu

  • Image Sharpness Assessment by Sparse Representation

    Leida Li;Dong Wu;Jinjian Wu;Haoliang Li

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

    Yuming Fang;Jiebin Yan;Leida Li;Jinjian Wu

  • Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization

    Unknown

  • Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification

    Unknown

  • Orientation selectivity based visual pattern for reduced-reference image quality assessment

    Jinjian Wu;Weisi Lin;Guangming Shi;Leida Li

  • Blind Image Quality Assessment With Active Inference

    Jupo Ma;Jinjian Wu;Leida Li;Weisheng Dong

  • No-reference quality assessment of deblocked images

    Leida Li;Yu Zhou;Weisi Lin;Jinjian Wu

  • Color-Guided Depth Recovery via Joint Local Structural and Nonlocal Low-Rank Regularization

    Weisheng Dong;Guangming Shi;Xin Li;Kefan Peng

  • Pattern Masking Estimation in Image With Structural Uncertainty

    Jinjian Wu;Weisi Lin;Guangming Shi;Xiaotian Wang

  • RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment

    Pengfei Chen;Leida Li;Lei Ma;Jinjian Wu

  • Visual Orientation Selectivity Based Structure Description

    Jinjian Wu;Weisi Lin;Guangming Shi;Yazhong Zhang

  • No-Reference Quality Assessment for View Synthesis Using DoG-Based Edge Statistics and Texture Naturalness

    Yu Zhou;Leida Li;Shiqi Wang;Jinjian Wu

Frequent Co-Authors

Guangming Shi
Guangming Shi Xidian University
Weisheng Dong
Weisheng Dong Xidian University
Weisi Lin
Weisi Lin Nanyang Technological University
Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
xin li
xin li Louisiana State University
Ke Gu
Ke Gu Beijing University of Technology
Shiqi Wang
Shiqi Wang City University of Hong Kong
Xin Yuan
Xin Yuan Nanyang Technological University
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Hong Ren Wu
Hong Ren Wu RMIT University

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