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Computer Science

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

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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