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 55 Citations 11,654 179 World Ranking 2145 National Ranking 207

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For contributions to computer graphics

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Computer graphics

His main research concerns Artificial intelligence, Computer vision, Algorithm, Computer graphics and Rendering. His work on Computer vision is being expanded to include thematically relevant topics such as Radiance. His Algorithm research incorporates themes from Subspace topology, Solver and Nonlinear system.

His work carried out in the field of Computer graphics brings together such families of science as Field and Representation. His study in Rendering is interdisciplinary in nature, drawing from both Single view, Point cloud, Simulation and Parallel computing. Kun Zhou has researched Facial motion capture in several fields, including Computer facial animation and Facial expression.

His most cited work include:

  • FaceWarehouse: A 3D Facial Expression Database for Visual Computing (613 citations)
  • Mesh editing with poisson-based gradient field manipulation (473 citations)
  • Locality sensitive discriminant analysis (413 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, Computer graphics, Algorithm and Rendering. His study brings together the fields of Pattern recognition and Artificial intelligence. His Computer vision research is multidisciplinary, incorporating elements of Shading and Radiance.

His study looks at the intersection of Computer graphics and topics like Texture synthesis with Texture. His Algorithm study integrates concerns from other disciplines, such as Path tracing, Polygon mesh, Solver, Mathematical optimization and Nonlinear system. The concepts of his Rendering study are interwoven with issues in Scattering, Ray tracing and Optics.

He most often published in these fields:

  • Artificial intelligence (61.60%)
  • Computer vision (51.48%)
  • Computer graphics (21.10%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (61.60%)
  • Computer vision (51.48%)
  • Pattern recognition (8.86%)

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

Kun Zhou spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Image and Artificial neural network. His biological study spans a wide range of topics, including Sketch and Graph. His work on One shot expands to the thematically related Computer vision.

His Image study combines topics from a wide range of disciplines, such as Flow, Generalization, Pose and Feature. His Artificial neural network study also includes

  • Normal and related Reduction,
  • Object that connect with fields like Computation and Collision. His Deep learning research includes elements of Algorithm, Computer graphics, Image warping and Robustness.

Between 2018 and 2021, his most popular works were:

  • HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation (26 citations)
  • NeuroSkinning: automatic skin binding for production characters with deep graph networks (23 citations)
  • NNWarp: Neural Network-Based Nonlinear Deformation (17 citations)

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

  • Artificial intelligence
  • Computer vision
  • Computer graphics

Kun Zhou mainly investigates Artificial intelligence, Pattern recognition, Graph, Deep learning and Segmentation. Kun Zhou interconnects Frame, Computer vision and Coupling in the investigation of issues within Artificial intelligence. His work on Texture mapping as part of general Computer vision research is frequently linked to Multiplexing, thereby connecting diverse disciplines of science.

His Pattern recognition study combines topics in areas such as Current, Generalization, Pose and Image. His work deals with themes such as Polygon mesh and Robustness, which intersect with Deep learning. His Segmentation study combines topics in areas such as Base, Point cloud, 3D reconstruction and Set.

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

Real-time KD-tree construction on graphics hardware

Kun Zhou;Qiming Hou;Rui Wang;Baining Guo.
international conference on computer graphics and interactive techniques (2008)

718 Citations

Mesh editing with poisson-based gradient field manipulation

Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi.
international conference on computer graphics and interactive techniques (2004)

718 Citations

FaceWarehouse: A 3D Facial Expression Database for Visual Computing

Chen Cao;Yanlin Weng;Shun Zhou;Yiying Tong.
IEEE Transactions on Visualization and Computer Graphics (2014)

658 Citations

Locality sensitive discriminant analysis

Deng Cai;Xiaofei He;Kun Zhou;Jiawei Han.
international joint conference on artificial intelligence (2007)

583 Citations

Large mesh deformation using the volumetric graph Laplacian

Kun Zhou;Jin Huang;John Snyder;Xinguo Liu.
international conference on computer graphics and interactive techniques (2005)

472 Citations

3D shape regression for real-time facial animation

Chen Cao;Yanlin Weng;Stephen Lin;Kun Zhou.
international conference on computer graphics and interactive techniques (2013)

370 Citations

Displaced dynamic expression regression for real-time facial tracking and animation

Chen Cao;Qiming Hou;Kun Zhou.
international conference on computer graphics and interactive techniques (2014)

337 Citations

Subspace gradient domain mesh deformation

Jin Huang;Xiaohan Shi;Xinguo Liu;Kun Zhou.
international conference on computer graphics and interactive techniques (2006)

333 Citations

Synthesis of progressively-variant textures on arbitrary surfaces

Jingdan Zhang;Kun Zhou;Luiz Velho;Baining Guo.
international conference on computer graphics and interactive techniques (2003)

270 Citations

An interactive approach to semantic modeling of indoor scenes with an RGBD camera

Tianjia Shao;Weiwei Xu;Kun Zhou;Jingdong Wang.
international conference on computer graphics and interactive techniques (2012)

219 Citations

Best Scientists Citing Kun Zhou

Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

Publications: 83

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

Publications: 69

Niloy J. Mitra

Niloy J. Mitra

University College London

Publications: 49

Hao Li

Hao Li

University of California, Berkeley

Publications: 45

Michael Zollhöfer

Michael Zollhöfer

Facebook (United States)

Publications: 43

Xin Tong

Xin Tong

Microsoft (United States)

Publications: 42

Daniel Cohen-Or

Daniel Cohen-Or

Tel Aviv University

Publications: 41

Shi-Min Hu

Shi-Min Hu

Tsinghua University

Publications: 41

Ligang Liu

Ligang Liu

University of Science and Technology of China

Publications: 40

Ravi Ramamoorthi

Ravi Ramamoorthi

University of California, San Diego

Publications: 36

Hujun Bao

Hujun Bao

Zhejiang University

Publications: 34

Markus Gross

Markus Gross

ETH Zurich

Publications: 33

Yu-Kun Lai

Yu-Kun Lai

Cardiff University

Publications: 33

Wojciech Jarosz

Wojciech Jarosz

Dartmouth College

Publications: 33

Stefanos Zafeiriou

Stefanos Zafeiriou

Imperial College London

Publications: 32

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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