World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8503
World Ranking
7940
National Ranking
1043

Chiew-Lan Tai publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chiew-Lan Tai sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 109 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Chiew-Lan Tai D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chiew-Lan Tai sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Chiew-Lan Tai is affiliated with the Hong Kong University of Science and Technology in China. Their research contributions span multiple areas within computer science and engineering, with a notable focus on computer vision and pattern recognition.

The scientist's work covers various subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mechanics
  • Aerospace Engineering
  • Geology

Key topics addressed in their publications include:

  • 3D Shape Modeling and Analysis
  • Robotics and Sensor-Based Localization
  • 3D Surveying and Cultural Heritage
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques

The majority of Chiew-Lan Tai's papers appear in venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Visualization and Computer Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent publications include:

  • "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Learning to Match Features with Seeded Graph Matching Network," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Sketch-R2CNN: An RNN-Rasterization-CNN Architecture for Vector Sketch Recognition," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers," 2022, arXiv (Cornell University)
  • "D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features," 2020, arXiv (Cornell University)

Frequent collaborators of Chiew-Lan Tai include:

  • Hongbo Fu
  • Xuyang Bai
  • Zeyu Hu
  • Zixin Luo
  • Lei Zhou

Their research involves the integration of advanced techniques in neural networks and computer vision, especially focusing on sensor fusion, 3D object detection, and feature matching methodologies.

Best Publications

  • TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

    Unknown

  • Optimized scale-and-stretch for image resizing

    Yu-Shuen Wang;Chiew-Lan Tai;Olga Sorkine;Tong-Yee Lee

  • Skeleton extraction by mesh contraction

    Oscar Kin-Chung Au;Chiew-Lan Tai;Hung-Kuo Chu;Daniel Cohen-Or

  • D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

    Xuyang Bai;Zixin Luo;Lei Zhou;Hongbo Fu

  • MoXi: real-time ink dispersion in absorbent paper

    Nelson S.-H. Chu;Chiew-Lan Tai

  • PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency

    Xuyang Bai;Zixin Luo;Lei Zhou;Hongkai Chen

  • Bilateral Normal Filtering for Mesh Denoising

    Youyi Zheng;Hongbo Fu;Oscar Kin-Chung Au;Chiew-Lan Tai

  • Spatial relationship preserving character motion adaptation

    Edmond S. L. Ho;Taku Komura;Chiew-Lan Tai

  • Parametric representation of a surface pencil with a common spatial geodesic

    Guo-Jin Wang;Kai Tang;Chiew-Lan Tai

  • Real-time painting with an expressive virtual Chinese brush

    N.S.H. Chu;Chiew-Lan Tai

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

    Hong-Wei Lin;Chiew-Lan Tai;Guo-Jin Wang

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

    Jiqiang Song;Feng Su;Chiew-Lan Tai;Shijie Cai

  • An efficient brush model for physically-based 3D painting

    N.S.-H. Chu;Chiew-Lan Tai

  • Prototype Modeling from Sketched Silhouettes based on Convolution Surfaces

    Chiew-Lan Tai;Hongxin Zhang;Hongxin Zhang;Jacky Chun-Kin Fong

  • Dual Laplacian editing for meshes

    O.K.-C. Au;C.L. Tai;L. Liu;H. Fu

  • Learning to Match Features with Seeded Graph Matching Network

    Hongkai Chen;Zixin Luo;Jiahui Zhang;Lei Zhou

  • Mesh Segmentation with Concavity-Aware Fields

    Oscar Kin-Chung Au;Youyi Zheng;Menglin Chen;Pengfei Xu

  • Direct manipulation of FFD: efficient explicit solutions and decomposible multiple point constraints

    Shi-Min Hu;Hui Zhang;Chiew-Lan Tai;Jia-Guang Sun

  • End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds

    Lei Li;Siyu Zhu;Hongbo Fu;Ping Tan

  • Component‐wise Controllers for Structure‐Preserving Shape Manipulation

    Youyi Zheng;Hongbo Fu;Daniel Cohen-Or;Oscar Kin-Chung Au

  • Electors Voting for Fast Automatic Shape Correspondence

    Oscar Kin-Chung Au;Chiew-Lan Tai;Daniel Cohen-Or;Youyi Zheng

  • A new recognition model for electronic architectural drawings

    Tong Lu;Chiew-Lan Tai;Feng Su;Shijie Cai

  • Multitouch finger registration and its applications

    Oscar Kin-Chung Au;Chiew-Lan Tai

  • JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

    Zeyu Hu;Mingmin Zhen;Xuyang Bai;Hongbo Fu

Frequent Co-Authors

Hongbo Fu
Hongbo Fu City University of Hong Kong
Shi-Min Hu
Shi-Min Hu Tsinghua University
Long Quan
Long Quan Hong Kong University of Science and Technology
Tong Lu
Tong Lu Nanjing University
Xiaogang Jin
Xiaogang Jin Zhejiang University
Ligang Liu
Ligang Liu University of Science and Technology of China
Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Ping Tan
Ping Tan Simon Fraser University
Takeo Igarashi
Takeo Igarashi University of Tokyo
Tong-Yee Lee
Tong-Yee Lee National Cheng Kung University

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