World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8503
World Ranking
7941
National Ranking
1043

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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