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 30 Citations 4,921 166 World Ranking 8767 National Ranking 816

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Coding tree unit, Multiview Video Coding and Context-adaptive binary arithmetic coding. His research investigates the connection between Artificial intelligence and topics such as Pattern recognition that intersect with issues in Image coding and Pixel. His Computer vision study frequently involves adjacent topics like Convolutional neural network.

The various areas that Xu Jizheng examines in his Coding tree unit study include Speedup and Parallel computing. His studies in Multiview Video Coding integrate themes in fields like Computer engineering and Sub-band coding. His Context-adaptive binary arithmetic coding study deals with Real-time computing intersecting with Transcoding, Computer hardware, Algorithm and Scalable Video Coding.

His most cited work include:

  • AOD-Net: All-in-One Dehazing Network (391 citations)
  • Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors (344 citations)
  • A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors (322 citations)

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

Xu Jizheng focuses on Artificial intelligence, Computer vision, Video processing, Algorithm and Bitstream. His Artificial intelligence study combines topics from a wide range of disciplines, such as Coding tree unit and Pattern recognition. His Coding tree unit research incorporates elements of Multiview Video Coding, Sub-band coding and Context-adaptive binary arithmetic coding.

His work in the fields of Computer vision, such as Motion compensation, Data compression and Wavelet, overlaps with other areas such as Visual media. His study in Video processing is interdisciplinary in nature, drawing from both Digital video, Representation and Motion vector. His biological study spans a wide range of topics, including Real-time computing, Algorithmic efficiency and Affine transformation.

He most often published in these fields:

  • Artificial intelligence (55.15%)
  • Computer vision (45.92%)
  • Video processing (42.06%)

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

  • Video processing (42.06%)
  • Bitstream (34.55%)
  • Artificial intelligence (55.15%)

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

His primary scientific interests are in Video processing, Bitstream, Artificial intelligence, Computer vision and Algorithm. His research integrates issues of Digital video, Representation and Motion vector in his study of Video processing. His Bitstream research includes themes of Buffer, Residual, Scaling and Affine transformation.

His Artificial intelligence course of study focuses on Decoding methods and Encoding. His Computer vision study combines topics in areas such as Representation and Coding tree unit. His study in the fields of Quantization under the domain of Algorithm overlaps with other disciplines such as Component and Set.

Between 2019 and 2021, his most popular works were:

  • Intra-picture prediction using non-adjacent reference lines of sample values (23 citations)
  • Universal Adversarial Perturbations Generative Network For Speaker Recognition (6 citations)
  • Direct Speech-to-Image Translation (5 citations)

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

  • Artificial intelligence
  • Algorithm
  • Computer vision

Xu Jizheng mainly focuses on Video processing, Artificial intelligence, Representation, Computer vision and Bitstream. His Video processing research is multidisciplinary, relying on both Decoding methods, Encoding and Sample. Xu Jizheng studied Artificial intelligence and Luma that intersect with Frame.

Xu Jizheng combines subjects such as Current, Algorithm, Motion vector, Block and Scaling with his study of Representation. His Computer vision research is multidisciplinary, incorporating elements of Representation and Resampling. His research integrates issues of Motion and Pulse-code modulation in his study of Bitstream.

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

AOD-Net: All-in-One Dehazing Network

Boyi Li;Xiulian Peng;Zhangyang Wang;Jizheng Xu.
international conference on computer vision (2017)

538 Citations

Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors

Chenggang Clarence Yan;Yongdong Zhang;Jizheng Xu;Feng Dai.
IEEE Transactions on Circuits and Systems for Video Technology (2014)

392 Citations

A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors

Chenggang Yan;Yongdong Zhang;Jizheng Xu;Feng Dai.
IEEE Signal Processing Letters (2014)

350 Citations

Three-Dimensional Embedded Subband Coding with Optimized Truncation (3-D ESCOT)

Jizheng Xu;Zixiang Xiong;Shipeng Li;Ya-Qin Zhang.
Applied and Computational Harmonic Analysis (2001)

257 Citations

Overview of the Emerging HEVC Screen Content Coding Extension

Jizheng Xu;Rajan Joshi;Robert A. Cohen.
IEEE Transactions on Circuits and Systems for Video Technology (2016)

225 Citations

Overview of the Range Extensions for the HEVC Standard: Tools, Profiles, and Performance

David Flynn;Detlev Marpe;Matteo Naccari;Tung Nguyen.
IEEE Transactions on Circuits and Systems for Video Technology (2016)

112 Citations

An All-in-One Network for Dehazing and Beyond

Boyi Li;Xiulian Peng;Zhangyang Wang;Jizheng Xu.
arXiv: Computer Vision and Pattern Recognition (2017)

97 Citations

Embedded base layer codec for 3D sub-band coding

Feng Wu;Jizheng Xu;Xiangyang Ji.
(2005)

96 Citations

Fully Connected Network-Based Intra Prediction for Image Coding

Jiahao Li;Bin Li;Jizheng Xu;Ruiqin Xiong.
IEEE Transactions on Image Processing (2018)

94 Citations

Memory-constrained 3D wavelet transform for video coding without boundary effects

Jizheng Xu;Zixiang Xiong;Shipeng Li;Ya-Qin Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (2002)

93 Citations

Best Scientists Citing Xu Jizheng

Marta Karczewicz

Marta Karczewicz

Qualcomm (United Kingdom)

Publications: 70

Feng Wu

Feng Wu

University of Science and Technology of China

Publications: 54

Siwei Ma

Siwei Ma

Peking University

Publications: 42

Wen Gao

Wen Gao

Peking University

Publications: 34

Shiqi Wang

Shiqi Wang

City University of Hong Kong

Publications: 32

Thomas Wiegand

Thomas Wiegand

Technical University of Berlin

Publications: 26

Detlev Marpe

Detlev Marpe

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

Publications: 24

Heiko Schwarz

Heiko Schwarz

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

Publications: 22

Debin Zhao

Debin Zhao

Harbin Institute of Technology

Publications: 20

Shipeng Li

Shipeng Li

Chinese University of Hong Kong, Shenzhen

Publications: 20

Zhangyang Wang

Zhangyang Wang

The University of Texas at Austin

Publications: 19

Sam Kwong

Sam Kwong

City University of Hong Kong

Publications: 18

King Ngi Ngan

King Ngi Ngan

University of Electronic Science and Technology of China

Publications: 18

Zixiang Xiong

Zixiang Xiong

Texas A&M University

Publications: 18

Yao Wang

Yao Wang

New York University

Publications: 17

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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