D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 39 Citations 11,101 305 World Ranking 4753 National Ranking 442

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to image representation and image reconstruction

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

Guangming Shi mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Sparse approximation and Image processing. His Artificial intelligence study is mostly concerned with Image restoration, Human visual system model, Pixel, Image quality and Iterative reconstruction. His Pattern recognition study incorporates themes from Salt-and-pepper noise, Deblurring, Non-local means, Gradient noise and Noise reduction.

The study incorporates disciplines such as Detector, Pascal and Single shot in addition to Computer vision. His work deals with themes such as Hyperspectral imaging, Full spectral imaging, Cluster analysis and Image texture, which intersect with Sparse approximation. The Image processing study combines topics in areas such as Transform coding, Wavelet transform and Rate–distortion optimization.

His most cited work include:

  • Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization (1003 citations)
  • Nonlocally Centralized Sparse Representation for Image Restoration (991 citations)
  • Two-stage image denoising by principal component analysis with local pixel grouping (491 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Compressed sensing are his primary areas of study. His is involved in several facets of Artificial intelligence study, as is seen by his studies on Pixel, Human visual system model, Image quality, Iterative reconstruction and Image processing. His Computer vision study frequently draws connections to adjacent fields such as Perception.

His Pattern recognition research includes elements of Visualization and Image restoration. Guangming Shi works on Image restoration which deals in particular with Deblurring. The concepts of his Algorithm study are interwoven with issues in Filter bank, Coding, Mathematical optimization and Filter design.

He most often published in these fields:

  • Artificial intelligence (64.11%)
  • Computer vision (36.39%)
  • Pattern recognition (29.95%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (64.11%)
  • Pattern recognition (29.95%)
  • Computer vision (36.39%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Deep learning. His work in Image quality, Human visual system model, Compressed sensing, Feature extraction and Feature is related to Artificial intelligence. In Compressed sensing, Guangming Shi works on issues like Image, which are connected to Neural coding.

He works in the field of Pattern recognition, focusing on Discriminative model in particular. His Computer vision research includes themes of Perception and Detector. He works mostly in the field of Deep learning, limiting it down to topics relating to Noise reduction and, in certain cases, Probabilistic logic, Energy and Algorithm.

Between 2017 and 2021, his most popular works were:

  • Denoising Prior Driven Deep Neural Network for Image Restoration (115 citations)
  • Feature-fused SSD: fast detection for small objects (50 citations)
  • A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification (25 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Statistics

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Deep learning. All of his Artificial intelligence and Image quality, Compressed sensing, Feature extraction, Feature and Image resolution investigations are sub-components of the entire Artificial intelligence study. His Pattern recognition study integrates concerns from other disciplines, such as RGB color model, Perspective, Image and Iterative method.

His studies in Computer vision integrate themes in fields like Pascal and Detector. The Deep learning study combines topics in areas such as Noise reduction and Demosaicing. His study in Artificial neural network is interdisciplinary in nature, drawing from both Image restoration and Deblurring.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

Weisheng Dong;Lei Zhang;Guangming Shi;Xiaolin Wu.
IEEE Transactions on Image Processing (2011)

1211 Citations

Nonlocally Centralized Sparse Representation for Image Restoration

Weisheng Dong;Lei Zhang;Guangming Shi;Xin Li.
IEEE Transactions on Image Processing (2013)

1089 Citations

Two-stage image denoising by principal component analysis with local pixel grouping

Lei Zhang;Weisheng Dong;David Zhang;Guangming Shi.
Pattern Recognition (2010)

697 Citations

Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach

Weisheng Dong;Guangming Shi;Xin Li.
IEEE Transactions on Image Processing (2013)

574 Citations

Sparsity-based image denoising via dictionary learning and structural clustering

Weisheng Dong;Xin Li;Lei Zhang;Guangming Shi.
computer vision and pattern recognition (2011)

473 Citations

Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling

Weisheng Dong;Lei Zhang;R. Lukac;Guangming Shi.
IEEE Transactions on Image Processing (2013)

367 Citations

Compressive Sensing via Nonlocal Low-Rank Regularization

Weisheng Dong;Guangming Shi;Xin Li;Yi Ma.
IEEE Transactions on Image Processing (2014)

343 Citations

Centralized sparse representation for image restoration

Weisheng Dong;Lei Zhang;Guangming Shi.
international conference on computer vision (2011)

285 Citations

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

Weisheng Dong;Fazuo Fu;Guangming Shi;Xun Cao.
IEEE Transactions on Image Processing (2016)

234 Citations

Perceptual Quality Metric With Internal Generative Mechanism

Jinjian Wu;Weisi Lin;Guangming Shi;Anmin Liu.
IEEE Transactions on Image Processing (2013)

233 Citations

Best Scientists Citing Guangming Shi

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 69

Weisi Lin

Weisi Lin

Nanyang Technological University

Publications: 65

Ke Gu

Ke Gu

Beijing University of Technology

Publications: 63

Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 42

Guangtao Zhai

Guangtao Zhai

Shanghai Jiao Tong University

Publications: 41

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 40

Jiaying Liu

Jiaying Liu

Peking University

Publications: 40

Xin Yuan

Xin Yuan

Nanyang Technological University

Publications: 39

Michael Elad

Michael Elad

Technion – Israel Institute of Technology

Publications: 39

Siwei Ma

Siwei Ma

Peking University

Publications: 38

Debin Zhao

Debin Zhao

Harbin Institute of Technology

Publications: 37

Wen Gao

Wen Gao

Peking University

Publications: 36

Shiqi Wang

Shiqi Wang

City University of Hong Kong

Publications: 36

Yuming Fang

Yuming Fang

Jiangxi University of Finance and Economics

Publications: 35

Feng Wu

Feng Wu

University of Science and Technology of China

Publications: 34

Zongming Guo

Zongming Guo

Peking University

Publications: 33

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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