H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 43 Citations 6,302 183 World Ranking 3938 National Ranking 364

Research.com Recognitions

Awards & Achievements

2009 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His primary areas of study are Computer vision, Artificial intelligence, Computer graphics, Algorithm and Graphics. Image segmentation, Stereopsis, Image warping, Image and Segmentation are among the areas of Computer vision where Tien-Tsin Wong concentrates his study. Tien-Tsin Wong undertakes interdisciplinary study in the fields of Artificial intelligence and Structure through his research.

As a part of the same scientific study, Tien-Tsin Wong usually deals with the Computer graphics, concentrating on Pixel and frequently concerns with Disjoint sets, Translational symmetry and Automatic summarization. In general Algorithm, his work in Algorithm design and Communication complexity is often linked to Maekawa's algorithm and Telecommunications network linking many areas of study. His Graphics study incorporates themes from Evolutionary computation, Ubiquitous computing, Computer graphics, Evolutionary algorithm and Parallel algorithm.

His most cited work include:

  • Consistent Depth Maps Recovery from a Video Sequence (265 citations)
  • Solid texture synthesis from 2D exemplars (200 citations)
  • Sampling with Hammersley and Halton points (189 citations)

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

Tien-Tsin Wong spends much of his time researching Artificial intelligence, Computer vision, Computer graphics, Rendering and Algorithm. His work in Artificial intelligence covers topics such as Pattern recognition which are related to areas like Feature. His work on Computer graphics expands to the thematically related Computer vision.

His Computer graphics research is multidisciplinary, relying on both Panorama and Visualization, Marching cubes. His Rendering research integrates issues from Data compression and Interpolation. His Algorithm research incorporates elements of Smoothing, Surface, Mathematical optimization and Polygon mesh.

He most often published in these fields:

  • Artificial intelligence (64.41%)
  • Computer vision (57.63%)
  • Computer graphics (18.22%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (64.41%)
  • Computer vision (57.63%)
  • Image (13.14%)

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

His primary areas of investigation include Artificial intelligence, Computer vision, Image, Stereoscopy and Pattern recognition. When carried out as part of a general Artificial intelligence research project, his work on Convolutional neural network, Computer graphics and Pixel is frequently linked to work in Function and Domain, therefore connecting diverse disciplines of study. Tien-Tsin Wong integrates Computer vision and Key in his research.

His Image research is multidisciplinary, relying on both Color vision and Contrast. He has included themes like Feature and Residual in his Pattern recognition study. As a part of the same scientific family, he mostly works in the field of Computer graphics, focusing on Process and, on occasion, Segmentation.

Between 2015 and 2021, his most popular works were:

  • Efficient Non-Consecutive Feature Tracking for Robust Structure-From-Motion (37 citations)
  • Two-stage sketch colorization (35 citations)
  • Deep extraction of manga structural lines (22 citations)

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

  • Artificial intelligence
  • Computer vision
  • Operating system

Artificial intelligence, Computer vision, Pattern recognition, Pixel and Computer graphics are his primary areas of study. His study in Convolutional neural network, Computer graphics, Texture filtering, Texture compression and Image texture falls under the purview of Artificial intelligence. In the subject of general Computer vision, his work in Image processing, Tracking and Color vision is often linked to Key and Distortion, thereby combining diverse domains of study.

His research in Pattern recognition intersects with topics in Supervised learning, Feature, Structure from motion and Image noise. His Pixel research is multidisciplinary, incorporating perspectives in Correctness, Unsupervised learning, Training set and Leverage. His Computer graphics study combines topics from a wide range of disciplines, such as Schedule, Focus, Process and Retargeting.

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.

Top Publications

Consistent Depth Maps Recovery from a Video Sequence

Guofeng Zhang;Jiaya Jia;Tien-Tsin Wong;Hujun Bao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

320 Citations

Solid texture synthesis from 2D exemplars

Johannes Kopf;Chi-Wing Fu;Daniel Cohen-Or;Oliver Deussen.
international conference on computer graphics and interactive techniques (2007)

283 Citations

Manga colorization

Yingge Qu;Tien-Tsin Wong;Pheng-Ann Heng.
international conference on computer graphics and interactive techniques (2006)

282 Citations

Sampling with Hammersley and Halton points

Tien-Tsin Wong;Wai-Shing Luk;Pheng-Ann Heng.
Journal of Graphics Tools (1997)

276 Citations

Two new quorum based algorithms for distributed mutual exclusion

Wai-Shing Luk;Tien-Tsin Wong.
international conference on distributed computing systems (1997)

219 Citations

Image-based Rendering with Controllable Illumination

Tien-Tsin Wong;Pheng-Ann Heng;Siu-Hang Or;Wai-Yin Ng.
eurographics symposium on rendering techniques (1997)

215 Citations

Intrinsic colorization

Xiaopei Liu;Liang Wan;Yingge Qu;Tien-Tsin Wong.
international conference on computer graphics and interactive techniques (2008)

215 Citations

Risk factors for thiazide-induced hyponatraemia

K.M. Chow;C.C. Szeto;T.Y.-H. Wong;C.B. Leung.
QJM: An International Journal of Medicine (2003)

198 Citations

Data-driven image color theme enhancement

Baoyuan Wang;Yizhou Yu;Tien-Tsin Wong;Chun Chen.
international conference on computer graphics and interactive techniques (2010)

157 Citations

A virtual-reality training system for knee arthroscopic surgery

P.-A. Heng;Chun-Yiu Cheng;Tien-Tsin Wong;Yangsheng Xu.
international conference of the ieee engineering in medicine and biology society (2004)

141 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Tien-Tsin Wong

Pheng-Ann Heng

Pheng-Ann Heng

Chinese University of Hong Kong

Publications: 37

Shi-Min Hu

Shi-Min Hu

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Hujun Bao

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Max Planck Institute for Informatics

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Daniel Cohen-Or

Daniel Cohen-Or

Tel Aviv University

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Reinhard Klein

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Microsoft (United States)

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Heung-Yeung Shum

Microsoft (United States)

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University College London

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Yu-Kun Lai

Yu-Kun Lai

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Kiyoharu Aizawa

Kiyoharu Aizawa

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Jiaya Jia

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