H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 76 Citations 26,231 335 World Ranking 562 National Ranking 45

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary areas of investigation include Artificial intelligence, Pattern recognition, Computer vision, Discriminative model and Image. The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways. His studies deal with areas such as Facial recognition system and Feature as well as Pattern recognition.

Wangmeng Zuo interconnects Mixture model and Affine transformation in the investigation of issues within Computer vision. He combines subjects such as Time complexity, Visualization and Residual with his study of Discriminative model. His Image study incorporates themes from Deep learning and Face.

His most cited work include:

  • Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (2693 citations)
  • Weighted Nuclear Norm Minimization with Application to Image Denoising (990 citations)
  • Learning Deep CNN Denoiser Prior for Image Restoration (807 citations)

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

Wangmeng Zuo spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Image. Artificial intelligence is frequently linked to Machine learning in his study. His Pattern recognition research incorporates themes from Facial recognition system, Noise reduction, Image restoration and Metric.

The various areas that he examines in his Computer vision study include Visualization and Robustness. His biological study spans a wide range of topics, including Artificial neural network, Object detection and Noise. His studies deal with areas such as Pixel and Face as well as Image.

He most often published in these fields:

  • Artificial intelligence (82.54%)
  • Pattern recognition (49.69%)
  • Computer vision (25.16%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (82.54%)
  • Pattern recognition (49.69%)
  • Image (17.05%)

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

His primary scientific interests are in Artificial intelligence, Pattern recognition, Image, Convolutional neural network and Computer vision. He incorporates Artificial intelligence and Block in his studies. His work in the fields of Pattern recognition, such as Feature extraction, intersects with other areas such as Component.

The Image study combines topics in areas such as Convolution and Benchmark. His Convolutional neural network study incorporates themes from Normalization, Pooling, Computer engineering, Object detection and Residual. In general Computer vision study, his work on Image warping, Segmentation, Structural similarity and Landmark often relates to the realm of Pipeline, thereby connecting several areas of interest.

Between 2019 and 2021, his most popular works were:

  • ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks (123 citations)
  • Image denoising using deep CNN with batch renormalization. (77 citations)
  • Attention-guided CNN for image denoising. (54 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Wangmeng Zuo mainly focuses on Artificial intelligence, Pattern recognition, Image, Convolutional neural network and Noise reduction. His Artificial intelligence research is multidisciplinary, relying on both Metric, Residual and Computer vision. In general Computer vision, his work in Structural similarity, Image segmentation, Image signal and Normalization is often linked to Pipeline linking many areas of study.

His Pattern recognition research incorporates themes from Convolution and Feature. His work in Image covers topics such as Benchmark which are related to areas like Divide and conquer algorithms and Sharpening. His research in Noise reduction intersects with topics in Noise and Noise.

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.

Top Publications

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Kai Zhang;Wangmeng Zuo;Yunjin Chen;Deyu Meng.
IEEE Transactions on Image Processing (2017)

2243 Citations

Weighted Nuclear Norm Minimization with Application to Image Denoising

Shuhang Gu;Lei Zhang;Wangmeng Zuo;Xiangchu Feng.
computer vision and pattern recognition (2014)

1004 Citations

Learning Deep CNN Denoiser Prior for Image Restoration

Kai Zhang;Wangmeng Zuo;Shuhang Gu;Lei Zhang.
computer vision and pattern recognition (2017)

650 Citations

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang.
computer vision and pattern recognition (2017)

491 Citations

Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification

Ruimao Zhang;Liang Lin;Rui Zhang;Wangmeng Zuo.
IEEE Transactions on Image Processing (2015)

440 Citations

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

Kai Zhang;Wangmeng Zuo;Lei Zhang.
IEEE Transactions on Image Processing (2018)

431 Citations

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

Shuhang Gu;Qi Xie;Deyu Meng;Wangmeng Zuo.
International Journal of Computer Vision (2017)

406 Citations

An Online System of Multispectral Palmprint Verification

D. Zhang;Zhenhua Guo;Guangming Lu;Lei Zhang.
IEEE Transactions on Instrumentation and Measurement (2010)

388 Citations

Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification

Faqiang Wang;Wangmeng Zuo;Liang Lin;David Zhang.
computer vision and pattern recognition (2016)

369 Citations

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations

Kai Zhang;Wangmeng Zuo;Lei Zhang.
computer vision and pattern recognition (2018)

352 Citations

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

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Top Scientists Citing Wangmeng Zuo

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 97

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

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Radu Timofte

Radu Timofte

ETH Zurich

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Liang Lin

Liang Lin

Sun Yat-sen University

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Luc Van Gool

Luc Van Gool

ETH Zurich

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Deyu Meng

Deyu Meng

Xi'an Jiaotong University

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Yong Xu

Yong Xu

Harbin Institute of Technology

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Dacheng Tao

Dacheng Tao

University of Sydney

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Jiaying Liu

Jiaying Liu

Peking University

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Xinbo Gao

Xinbo Gao

Chongqing University of Posts and Telecommunications

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Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

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Shuicheng Yan

Shuicheng Yan

National University of Singapore

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Qi Tian

Qi Tian

Huawei Technologies (China)

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Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

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Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

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