World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9863
World Ranking
7124
National Ranking
93

Gim Hee Lee 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 Gim Hee Lee 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: 107 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.

Gim Hee Lee 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 Gim Hee Lee 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Gim Hee Lee is affiliated with the National University of Singapore in Singapore. Their research contributions span multiple areas within computer science and engineering, with a notable focus on computer vision and artificial intelligence.

The scientist has a significant number of publications in various reputed venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Gim Hee Lee's research fields primarily encompass:

  • Computer Science
  • Engineering

Their work further delves into subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Aerospace Engineering

Main research topics addressed by Gim Hee Lee include:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization

Some recent papers authored by Gim Hee Lee are:

  • REGTR: End-to-end Point Cloud Correspondences with Transformers, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Source-Free Open Compound Domain Adaptation in Semantic Segmentation, 2022, IEEE Transactions on Circuits and Systems for Video Technology
  • Voxel-based Network for Shape Completion by Leveraging Edge Generation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • A General Framework for Lifelong Localization and Mapping in Changing Environment, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Frequent coauthors collaborating with Gim Hee Lee include:

  • Nicu Sebe
  • Yuyang Zhao
  • Marcelo H. Ang
  • Mingli Ding

Best Publications

  • SO-Net: Self-Organizing Network for Point Cloud Analysis

    Jiaxin Li;Ben M. Chen;Gim Hee Lee

  • PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision

    Lorenz Meier;Petri Tanskanen;Lionel Heng;Gim Hee Lee

  • RPM-Net: Robust Point Matching Using Learned Features

    Zi Jian Yew;Gim Hee Lee

  • PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition

    Mikaela Angelina Uy;Gim Hee Lee

  • Vision-based autonomous mapping and exploration using a quadrotor MAV

    Friedrich Fraundorfer;Lionel Heng;Dominik Honegger;Gim Hee Lee

  • Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments

    Davide Scaramuzza;Michael C Achtelik;Lefteris Doitsidis;Friedrich Fraundorfer

  • 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

    Zi Jian Yew;Gim Hee Lee

  • Convolutional Sequence to Sequence Model for Human Dynamics

    Chen Li;Zhen Zhang;Wee Sun Lee;Gim Hee Lee

  • CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization

    Sixing Hu;Mengdan Feng;Rang M. H. Nguyen;Gim Hee Lee

  • REGTR: End-to-end Point Cloud Correspondences with Transformers

    Unknown

  • Cascaded Refinement Network for Point Cloud Completion

    Xiaogang Wang;Marcelo H. Ang;Gim Hee Lee

  • Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels

    Xun Xu;Gim Hee Lee

  • 3d visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection

    Christian Häne;Lionel Heng;Gim Hee Lee;Friedrich Fraundorfer

  • Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network

    Chen Li;Gim Hee Lee

  • USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds

    Jiaxin Li;Gim Hee Lee

  • Motion Estimation for Self-Driving Cars with a Generalized Camera

    Gim Hee Lee;Friedrich Faundorfer;Marc Pollefeys

  • Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation

    Meng Tian;Marcelo H. Ang;Gim Hee Lee

  • Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project

    Paul Furgale;Ulrich Schwesinger;Martin Rufli;Wojciech Derendarz

  • 2D3D-Matchnet: Learning To Match Keypoints Across 2D Image And 3D Point Cloud

    Mengdan Feng;Sixing Hu;Marcelo H Ang;Gim Hee Lee

  • MINE: Towards Continuous Depth MPI With NeRF for Novel View Synthesis

    Jiaxin Li;Zijian Feng;Qi She;Henghui Ding

  • Autonomous Visual Mapping and Exploration With a Micro Aerial Vehicle

    Lionel Heng;Dominik Honegger;Gim Hee Lee;Lorenz Meier

  • Robust pose-graph loop-closures with expectation-maximization

    Gim Hee Lee;Friedrich Fraundorfer;Marc Pollefeys

  • Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System

    Lionel Heng;Benjamin Choi;Zhaopeng Cui;Marcel Geppert

Frequent Co-Authors

Marc Pollefeys
Marc Pollefeys ETH Zurich
Friedrich Fraundorfer
Friedrich Fraundorfer Graz University of Technology
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Paul Furgale
Paul Furgale ETH Zurich
Ben M. Chen
Ben M. Chen Chinese University of Hong Kong
Elias B. Kosmatopoulos
Elias B. Kosmatopoulos Democritus University of Thrace

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