H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 44 Citations 7,544 356 World Ranking 3746 National Ranking 345

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Siwei Ma focuses on Artificial intelligence, Computer vision, Algorithm, Coding tree unit and Discrete cosine transform. His research on Artificial intelligence frequently links to adjacent areas such as Pattern recognition. His Computer vision study combines topics in areas such as Distortion, Video quality and Augmented Lagrangian method.

His Algorithm research includes themes of View synthesis and Rate–distortion optimization. His work carried out in the field of Coding tree unit brings together such families of science as Multiview Video Coding, Speedup and Context-adaptive binary arithmetic coding. His Discrete cosine transform study deals with Speech recognition intersecting with Normalization, Block code and Iterative method.

His most cited work include:

  • Rate-distortion analysis for H.264/AVC video coding and its application to rate control (289 citations)
  • Fast mode decision algorithm for intra prediction in HEVC (260 citations)
  • SSIM-Motivated Rate-Distortion Optimization for Video Coding (157 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Coding tree unit. His is involved in several facets of Artificial intelligence study, as is seen by his studies on Pixel, Motion compensation, Data compression, Iterative reconstruction and Image quality. In most of his Computer vision studies, his work intersects topics such as Distortion.

His research in Algorithm intersects with topics in Real-time computing, Rate–distortion optimization and Discrete cosine transform. His research in Pattern recognition focuses on subjects like Image restoration, which are connected to Regularization. His Coding tree unit course of study focuses on Context-adaptive binary arithmetic coding and Sub-band coding and Macroblock.

He most often published in these fields:

  • Artificial intelligence (55.93%)
  • Computer vision (41.79%)
  • Algorithm (35.55%)

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

  • Artificial intelligence (55.93%)
  • Algorithm (35.55%)
  • Computer vision (41.79%)

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

His primary areas of study are Artificial intelligence, Algorithm, Computer vision, Deep learning and Decoding methods. Siwei Ma has included themes like Machine learning and Pattern recognition in his Artificial intelligence study. Siwei Ma has researched Pattern recognition in several fields, including Distortion and Feature.

As part of his studies on Algorithm, Siwei Ma frequently links adjacent subjects like Random access. The concepts of his Computer vision study are interwoven with issues in Visualization and Codec. His research integrates issues of Fingerprint, Speaker recognition, Speech recognition and Biometrics in his study of Deep learning.

Between 2017 and 2021, his most popular works were:

  • Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (107 citations)
  • Content-Aware Convolutional Neural Network for In-Loop Filtering in High Efficiency Video Coding (58 citations)
  • Image and Video Compression With Neural Networks: A Review (57 citations)

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

  • Artificial intelligence
  • Computer vision
  • Algorithm

Siwei Ma spends much of his time researching Artificial intelligence, Algorithm, Deep learning, Computer vision and Convolutional neural network. His Artificial intelligence research incorporates elements of Machine learning and Pattern recognition. His research in Algorithm tackles topics such as Random access which are related to areas like Interleaving and Decoding methods.

His studies deal with areas such as Image processing, Image, Reference frame, Absolute value and Cross entropy as well as Deep learning. Siwei Ma interconnects Visualization and Solid modeling in the investigation of issues within Computer vision. His Motion compensation research integrates issues from Image resolution and Motion field.

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

Rate-distortion analysis for H.264/AVC video coding and its application to rate control

S. Ma;Wen Gao;Yan Lu.
IEEE Transactions on Circuits and Systems for Video Technology (2005)

382 Citations

Fast mode decision algorithm for intra prediction in HEVC

Liang Zhao;Li Zhang;Siwei Ma;Debin Zhao.
visual communications and image processing (2011)

350 Citations

Adaptive rate control for H.264

Zhengguo Li;Wen Gao;Feng Pan;S. W. Ma.
Journal of Visual Communication and Image Representation (2006)

203 Citations

SSIM-Motivated Rate-Distortion Optimization for Video Coding

Shiqi Wang;A. Rehman;Zhou Wang;Siwei Ma.
IEEE Transactions on Circuits and Systems for Video Technology (2012)

175 Citations

Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain

Jian Zhang;Debin Zhao;Ruiqin Xiong;Siwei Ma.
IEEE Transactions on Circuits and Systems for Video Technology (2014)

148 Citations

Image Compressive Sensing Recovery via Collaborative Sparsity

Jian Zhang;Debin Zhao;Chen Zhao;Ruiqin Xiong.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2012)

144 Citations

High-definition Video Coding with Super-macroblocks

Siwei Ma;C.-C. Jay Kuo.
visual communications and image processing (2007)

139 Citations

Joint video/depth rate allocation for 3D video coding based on view synthesis distortion model

Yanwei Liu;Qingming Huang;Siwei Ma;Debin Zhao.
Signal Processing-image Communication (2009)

135 Citations

Compression Artifact Reduction by Overlapped-Block Transform Coefficient Estimation With Block Similarity

Xinfeng Zhang;Ruiqin Xiong;Xiaopeng Fan;Siwei Ma.
IEEE Transactions on Image Processing (2013)

134 Citations

Image Interpolation Via Regularized Local Linear Regression

Xianming Liu;Debin Zhao;Ruiqin Xiong;Siwei Ma.
IEEE Transactions on Image Processing (2011)

134 Citations

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Best Scientists Citing Siwei Ma

Debin Zhao

Debin Zhao

Harbin Institute of Technology

Publications: 94

Wen Gao

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Peking University

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Weisi Lin

Weisi Lin

Nanyang Technological University

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Sam Kwong

Sam Kwong

City University of Hong Kong

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Ke Gu

Ke Gu

Beijing University of Technology

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Feng Wu

Feng Wu

University of Science and Technology of China

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Jiaying Liu

Jiaying Liu

Peking University

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Marta Karczewicz

Marta Karczewicz

Qualcomm (United Kingdom)

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Shiqi Wang

Shiqi Wang

City University of Hong Kong

Publications: 38

King Ngi Ngan

King Ngi Ngan

University of Electronic Science and Technology of China

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Guangtao Zhai

Guangtao Zhai

Shanghai Jiao Tong University

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Xu Jizheng

Xu Jizheng

ByteDance

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Alan C. Bovik

Alan C. Bovik

The University of Texas at Austin

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Lin Ma

Lin Ma

Harbin Institute of Technology

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Yuming Fang

Yuming Fang

Jiangxi University of Finance and Economics

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Zhou Wang

Zhou Wang

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