H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 50 Citations 8,474 158 World Ranking 2911 National Ranking 1536

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Computer graphics

Xin Tong mainly focuses on Artificial intelligence, Computer vision, Rendering, Computer graphics and Surface. His Artificial intelligence study frequently intersects with other fields, such as Pattern recognition. In the field of Computer vision, his study on Image resolution, Motion capture and Light field overlaps with subjects such as Facial motion capture and High fidelity.

The various areas that he examines in his Rendering study include Scattering, Displacement mapping, Diffusion equation and Computation. His work in the fields of Computer graphics, such as Subsurface scattering, overlaps with other areas such as Irregular shape. The various areas that Xin Tong examines in his Surface study include Bidirectional reflectance distribution function, Reflectivity, Optics, Anisotropy and Texture synthesis.

His most cited work include:

  • Plenoptic sampling (654 citations)
  • O-CNN: octree-based convolutional neural networks for 3D shape analysis (503 citations)
  • TextFlow: Towards Better Understanding of Evolving Topics in Text (266 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Rendering, Computer graphics and Pattern recognition. His study ties his expertise on Surface together with the subject of Artificial intelligence. His studies examine the connections between Computer vision and genetics, as well as such issues in Reflectivity, with regards to Specular reflection.

His Rendering research integrates issues from Computation and Displacement mapping. The study incorporates disciplines such as Supervised learning and Deep learning in addition to Pattern recognition. His research in Convolutional neural network intersects with topics in Algorithm, Octree, Convolution and Shape analysis.

He most often published in these fields:

  • Artificial intelligence (66.18%)
  • Computer vision (55.39%)
  • Rendering (22.55%)

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

  • Artificial intelligence (66.18%)
  • Computer vision (55.39%)
  • Pattern recognition (11.76%)

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

Xin Tong mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Image and Point cloud. Xin Tong interconnects Simple and Facial expression in the investigation of issues within Computer vision. The concepts of his Pattern recognition study are interwoven with issues in Supervised learning and Representation.

His research investigates the connection with Image and areas like Head which intersect with concerns in Depth map. His biological study spans a wide range of topics, including Margin, Segmentation and Polygon mesh. In general Rendering study, his work on Global illumination often relates to the realm of Prior probability, thereby connecting several areas of interest.

Between 2018 and 2021, his most popular works were:

  • Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Set (69 citations)
  • Deep inverse rendering for high-resolution SVBRDF estimation from an arbitrary number of images (37 citations)
  • Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (28 citations)

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

  • Artificial intelligence
  • Computer vision
  • Computer graphics

Xin Tong spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Real image and Image. His Artificial intelligence study frequently involves adjacent topics like Cuboid. His research in the fields of Rendering, Inverse rendering and Feature overlaps with other disciplines such as Prior probability.

His studies deal with areas such as Salient, Image restoration, Deblurring, Image generation and Image formation as well as Rendering. His work on Shape analysis as part of general Pattern recognition study is frequently linked to Class, therefore connecting diverse disciplines of science. His Deep learning research includes themes of RGB color model, Network topology and Point cloud.

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

Plenoptic sampling

Jin-Xiang Chai;Xin Tong;Shing-Chow Chan;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2000)

922 Citations

O-CNN: octree-based convolutional neural networks for 3D shape analysis

Peng-Shuai Wang;Yang Liu;Yu-Xiao Guo;Chun-Yu Sun.
ACM Transactions on Graphics (2017)

540 Citations

TextFlow: Towards Better Understanding of Evolving Topics in Text

Weiwei Cui;Shixia Liu;Li Tan;Conglei Shi.
IEEE Transactions on Visualization and Computer Graphics (2011)

432 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

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

Image-based rendering

Sing Bing Kang;Yin Li;Xin Tong;Heung-Yeung Shum.
(2006)

261 Citations

View-dependent displacement mapping

Lifeng Wang;Xi Wang;Xin Tong;Stephen Lin.
international conference on computer graphics and interactive techniques (2003)

248 Citations

Diffuse-Specular Separation and Depth Recovery from Image Sequences

Stephen Lin;Yuanzhen Li;Yuanzhen Li;Sing Bing Kang;Xin Tong.
european conference on computer vision (2002)

198 Citations

Fabricating spatially-varying subsurface scattering

Yue Dong;Jiaping Wang;Fabio Pellacini;Xin Tong.
international conference on computer graphics and interactive techniques (2010)

140 Citations

Automatic acquisition of high-fidelity facial performances using monocular videos

Fuhao Shi;Hsiang-Tao Wu;Xin Tong;Jinxiang Chai.
international conference on computer graphics and interactive techniques (2014)

137 Citations

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Best Scientists Citing Xin Tong

Ravi Ramamoorthi

Ravi Ramamoorthi

University of California, San Diego

Publications: 60

Kun Zhou

Kun Zhou

Zhejiang University

Publications: 54

Heung-Yeung Shum

Heung-Yeung Shum

Microsoft (United States)

Publications: 47

Wojciech Matusik

Wojciech Matusik

MIT

Publications: 46

Baining Guo

Baining Guo

Microsoft (United States)

Publications: 42

Markus Gross

Markus Gross

ETH Zurich

Publications: 39

Frédo Durand

Frédo Durand

MIT

Publications: 39

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

Publications: 38

Sylvain Lefebvre

Sylvain Lefebvre

University of Lorraine

Publications: 36

Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

Publications: 36

Qionghai Dai

Qionghai Dai

Tsinghua University

Publications: 35

Ligang Liu

Ligang Liu

University of Science and Technology of China

Publications: 34

Michael Zollhöfer

Michael Zollhöfer

Facebook (United States)

Publications: 32

Niloy J. Mitra

Niloy J. Mitra

University College London

Publications: 30

Stephen Lin

Stephen Lin

Microsoft (United States)

Publications: 28

Hao Zhang

Hao Zhang

Simon Fraser University

Publications: 28

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