D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 35 Citations 5,622 92 World Ranking 7633 National Ranking 754

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Geometry

His scientific interests lie mostly in Computer vision, Artificial intelligence, Computer graphics, Algorithm and Polygon mesh. His work on Pixel and Line segment as part of general Computer vision study is frequently connected to Laplacian smoothing, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Pixel research incorporates elements of Computation, Nonlinear programming and Scaling.

Chiew-Lan Tai studied Computer graphics and Brush that intersect with Process, Virtual reality and Spline. His Algorithm study incorporates themes from Surface, Automatic summarization and Laplace operator. Chiew-Lan Tai combines subjects such as Character animation, Animation, Motion, Retargeting and Parametrization with his study of Polygon mesh.

His most cited work include:

  • Optimized scale-and-stretch for image resizing (531 citations)
  • Skeleton extraction by mesh contraction (383 citations)
  • MoXi: real-time ink dispersion in absorbent paper (183 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, Pattern recognition and Computer graphics. Artificial intelligence is frequently linked to Sketch in his study. His research links Solid modeling with Computer vision.

His Algorithm research is multidisciplinary, incorporating perspectives in Polygon mesh, Mathematical optimization, Theoretical computer science and Surface. His Pattern recognition research is multidisciplinary, incorporating elements of Point cloud, Feature and Pruning. His work on Animation as part of general Computer graphics research is often related to Key, thus linking different fields of science.

He most often published in these fields:

  • Artificial intelligence (47.00%)
  • Computer vision (27.00%)
  • Algorithm (18.00%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (47.00%)
  • Pattern recognition (16.00%)
  • Sketch (10.00%)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Sketch, Point cloud and Artificial neural network. His study of Feature extraction is a part of Artificial intelligence. His work deals with themes such as Object, Set, Binary image and Computer graphics, which intersect with Sketch.

His research in Point cloud focuses on subjects like Discriminative model, which are connected to Kernel. Chiew-Lan Tai has included themes like Deep learning and Feature in his Artificial neural network study. Sketch recognition is a subfield of Computer vision that Chiew-Lan Tai tackles.

Between 2017 and 2021, his most popular works were:

  • Fast Sketch Segmentation and Labeling With Deep Learning (20 citations)
  • D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features (18 citations)
  • Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition. (14 citations)

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

  • Artificial intelligence
  • Computer vision
  • Geometry

His primary areas of investigation include Artificial intelligence, Pattern recognition, Feature extraction, Point cloud and Artificial neural network. His Computer vision research extends to Artificial intelligence, which is thematically connected. His Artificial neural network research includes elements of Sketch and Binary image.

His studies deal with areas such as DUAL, Enhanced Data Rates for GSM Evolution, Edge detection and Task as well as Segmentation. His Kernel study combines topics in areas such as Discriminative model and Leverage. His research integrates issues of Image segmentation and Cut in his study of Deep learning.

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

Optimized scale-and-stretch for image resizing

Yu-Shuen Wang;Chiew-Lan Tai;Olga Sorkine;Tong-Yee Lee.
international conference on computer graphics and interactive techniques (2008)

829 Citations

Skeleton extraction by mesh contraction

Oscar Kin-Chung Au;Chiew-Lan Tai;Hung-Kuo Chu;Daniel Cohen-Or.
international conference on computer graphics and interactive techniques (2008)

630 Citations

MoXi: real-time ink dispersion in absorbent paper

Nelson S.-H. Chu;Chiew-Lan Tai.
international conference on computer graphics and interactive techniques (2005)

314 Citations

Bilateral Normal Filtering for Mesh Denoising

Youyi Zheng;Hongbo Fu;Oscar Kin-Chung Au;Chiew-Lan Tai.
IEEE Transactions on Visualization and Computer Graphics (2011)

226 Citations

Spatial relationship preserving character motion adaptation

Edmond S. L. Ho;Taku Komura;Chiew-Lan Tai.
international conference on computer graphics and interactive techniques (2010)

191 Citations

Real-time painting with an expressive virtual Chinese brush

N.S.H. Chu;Chiew-Lan Tai.
IEEE Computer Graphics and Applications (2004)

166 Citations

A mesh reconstruction algorithm driven by an intrinsic property of a point cloud

Hong-Wei Lin;Chiew-Lan Tai;Guo-Jin Wang.
Computer-aided Design (2004)

149 Citations

Parametric representation of a surface pencil with a common spatial geodesic

Guo-Jin Wang;Kai Tang;Chiew-Lan Tai.
Computer-aided Design (2004)

143 Citations

An object-oriented progressive-simplification-based vectorization system for engineering drawings: model, algorithm, and performance

Jiqiang Song;Feng Su;Chiew-Lan Tai;Shijie Cai.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

140 Citations

An efficient brush model for physically-based 3D painting

N.S.-H. Chu;Chiew-Lan Tai.
pacific conference on computer graphics and applications (2002)

139 Citations

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