H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 37 Citations 6,037 140 World Ranking 5230 National Ranking 492

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Geometry

Ligang Liu focuses on Artificial intelligence, Computer vision, Segmentation, Computer graphics and Pattern recognition. He performs integrative study on Artificial intelligence and Scheme. His Computer vision research includes elements of Extreme learning machine, Animation and Surface.

The study incorporates disciplines such as Discrete mathematics, Graph, Compact space, Homogeneous space and 3d model in addition to Segmentation. His Computer graphics research integrates issues from Algorithm, Geometry processing, Polygon mesh and T-vertices. Ligang Liu interconnects Parametrization and Coherence in the investigation of issues within Algorithm.

His most cited work include:

  • Scanning 3D Full Human Bodies Using Kinects (431 citations)
  • A local/global approach to mesh parameterization (261 citations)
  • Synthesis of bidirectional texture functions on arbitrary surfaces (240 citations)

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

His primary areas of investigation include Artificial intelligence, Computer vision, Algorithm, Polygon mesh and Computer graphics. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition. Computer vision is closely attributed to Expression in his work.

His research investigates the link between Algorithm and topics such as Surface that cross with problems in Parametrization. His research in Polygon mesh tackles topics such as Laplacian smoothing which are related to areas like Laplace operator. Computer graphics is a subfield of Computer graphics that Ligang Liu tackles.

He most often published in these fields:

  • Artificial intelligence (37.61%)
  • Computer vision (27.06%)
  • Algorithm (19.72%)

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

  • Artificial intelligence (37.61%)
  • Algorithm (19.72%)
  • Polygon mesh (13.76%)

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

His main research concerns Artificial intelligence, Algorithm, Polygon mesh, Computer vision and Point cloud. Ligang Liu combines subjects such as Point and Pattern recognition with his study of Artificial intelligence. His work deals with themes such as Image processing, Bounded function, Feature learning and Robustness, which intersect with Algorithm.

His study in Polygon mesh is interdisciplinary in nature, drawing from both Parametrization, Mesh generation and Discretization. His research links Computation with Computer vision. His study focuses on the intersection of Point cloud and fields such as Feature extraction with connections in the field of Tangent space and Subspace topology.

Between 2018 and 2021, his most popular works were:

  • Data-driven interior plan generation for residential buildings (29 citations)
  • Static/Dynamic Filtering for Mesh Geometry (26 citations)
  • Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery (23 citations)

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

  • Artificial intelligence
  • Geometry
  • Computer vision

Ligang Liu mainly focuses on Artificial intelligence, Algorithm, Point cloud, Deep learning and Polygon mesh. His Artificial intelligence research includes themes of Point, Computer vision and Pattern recognition. His studies in Computer vision integrate themes in fields like Skinning and Expression.

His studies deal with areas such as Bounding overwatch, Noise reduction, Kernel and Robustness as well as Algorithm. His Point cloud study incorporates themes from Grid and Feature learning. His work deals with themes such as Vertex, Mesh generation, Monotone polygon and Conjugate gradient method, which intersect with Polygon mesh.

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

Scanning 3D Full Human Bodies Using Kinects

Jing Tong;Jin Zhou;Ligang Liu;Zhigeng Pan.
IEEE Transactions on Visualization and Computer Graphics (2012)

677 Citations

Synthesis of bidirectional texture functions on arbitrary surfaces

Xin Tong;Jingdan Zhang;Ligang Liu;Xi Wang.
international conference on computer graphics and interactive techniques (2002)

363 Citations

A local/global approach to mesh parameterization

Ligang Liu;Lei Zhang;Yin Xu;Craig Gotsman.
symposium on geometry processing (2008)

329 Citations

Cost-effective printing of 3D objects with skin-frame structures

Weiming Wang;Tuanfeng Y. Wang;Zhouwang Yang;Ligang Liu.
international conference on computer graphics and interactive techniques (2013)

306 Citations

Optimizing Photo Composition

Ligang Liu;Renjie Chen;Lior Wolf;Daniel Cohen-Or.
Computer Graphics Forum (2010)

302 Citations

Parametric reshaping of human bodies in images

Shizhe Zhou;Hongbo Fu;Ligang Liu;Daniel Cohen-Or.
international conference on computer graphics and interactive techniques (2010)

216 Citations

Co-Segmentation of 3D Shapes via Subspace Clustering

Ruizhen Hu;Lubin Fan;Ligang Liu.
Computer Graphics Forum (2012)

157 Citations

Easy Mesh Cutting

Zhongping Ji;Ligang Liu;Zhonggui Chen;Guojin Wang.
Computer Graphics Forum (2006)

154 Citations

Semantic decomposition and reconstruction of residential scenes from LiDAR data

Hui Lin;Jizhou Gao;Yu Zhou;Guiliang Lu.
international conference on computer graphics and interactive techniques (2013)

136 Citations

Dual Laplacian editing for meshes

O.K.-C. Au;C.L. Tai;L. Liu;H. Fu.
IEEE Transactions on Visualization and Computer Graphics (2006)

127 Citations

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Best Scientists Citing Ligang Liu

Hao Zhang

Hao Zhang

Simon Fraser University

Publications: 63

Niloy J. Mitra

Niloy J. Mitra

University College London

Publications: 48

Leonidas J. Guibas

Leonidas J. Guibas

Stanford University

Publications: 46

Daniel Cohen-Or

Daniel Cohen-Or

Tel Aviv University

Publications: 44

Kai Xu

Kai Xu

National University of Defense Technology

Publications: 42

Sylvain Lefebvre

Sylvain Lefebvre

University of Lorraine

Publications: 41

Kun Zhou

Kun Zhou

Zhejiang University

Publications: 39

Charlie C. L. Wang

Charlie C. L. Wang

University of Manchester

Publications: 38

Yu-Kun Lai

Yu-Kun Lai

Cardiff University

Publications: 34

Wenping Wang

Wenping Wang

University of Hong Kong

Publications: 33

Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

Publications: 33

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

Publications: 32

Peter Wonka

Peter Wonka

King Abdullah University of Science and Technology

Publications: 31

Baoquan Chen

Baoquan Chen

Peking University

Publications: 30

Baining Guo

Baining Guo

Microsoft (United States)

Publications: 29

Ying He

Ying He

Nanyang Technological University

Publications: 27

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