World's Best Scientists 2026 revealed!
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Computer Science
Korea
2026

D-Index & Metrics

Computer Science

D-Index
72
Citations
38852
World Ranking
1634
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Korea Leader Award
  • 2025 - Research.com Computer Science in Korea Leader Award
  • 2023 - Research.com Computer Science in Korea Leader Award
  • 2022 - Research.com Computer Science in Korea Leader Award
  • 2021 - IEEE Fellow For contributions to image restoration and visual tracking

Overview

Kyoung Mu Lee is affiliated with Seoul National University in South Korea. Their research spans areas within computer science and engineering, with a prominent focus on computer vision and pattern recognition.

The scientist has contributed extensively to multiple subfields, including:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Computational Mechanics
  • Artificial Intelligence
  • Human-Computer Interaction

Kyoung Mu Lee's work covers a variety of topics, with notable emphasis on:

  • Advanced Image Processing Techniques
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications
  • Image and Signal Denoising Methods
  • 3D Shape Modeling and Analysis
  • Advanced Neural Network Applications

The scientist has published research in well-known venues, including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Lecture Notes in Computer Science
  • IEEE Access

Key recent publications include:

  • "Channel Attention Is All You Need for Video Frame Interpolation" (2020) in Proceedings of the AAAI Conference on Artificial Intelligence
  • "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" (2022) in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (2021) in 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network" (2022) in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image" (2022) in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators include:

  • Gyeongsik Moon
  • Sungyong Baik
  • Heewon Kim
  • Sanghyun Son
  • Hongsuk Choi

Kyoung Mu Lee was recognized as an IEEE Fellow in 2021, cited for contributions to image restoration and visual tracking.

Best Publications

  • Accurate Image Super-Resolution Using Very Deep Convolutional Networks

    Jiwon Kim;Jung Kwon Lee;Kyoung Mu Lee

  • Enhanced Deep Residual Networks for Single Image Super-Resolution

    Bee Lim;Sanghyun Son;Heewon Kim;Seungjun Nah

  • Deeply-Recursive Convolutional Network for Image Super-Resolution

    Jiwon Kim;Jung Kwon Lee;Kyoung Mu Lee

  • Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

    Seungjun Nah;Tae Hyun Kim;Kyoung Mu Lee

  • Visual tracking decomposition

    Junseok Kwon;Kyoung Mu Lee

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Part-Aligned Bilinear Representations for Person Re-Identification

    Yumin Suh;Jingdong Wang;Siyu Tang;Tao Mei

  • Reweighted random walks for graph matching

    Minsu Cho;Jungmin Lee;Kyoung Mu Lee

  • Tracking by Sampling Trackers

    Junseok Kwon;Kyoung Mu Lee

  • NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study

    Seungjun Nah;Sungyong Baik;Seokil Hong;Gyeongsik Moon

  • V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

    Ju Yong Chang;Gyeongsik Moon;Kyoung Mu Lee

  • FPGA Design and Implementation of a Real-Time Stereo Vision System

    Seunghun Jin;Junguk Cho;Xuan Dai Pham;Kyoung Mu Lee

  • Robust Stereo Matching Using Adaptive Normalized Cross-Correlation

    Yong Seok Heo;Kyong Mu Lee;Sang Uk Lee

  • Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image

    Gyeongsik Moon;Ju Yong Chang;Kyoung Mu Lee

  • I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image

    Gyeongsik Moon;Kyoung Mu Lee

  • Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose

    Hongsuk Choi;Gyeongsik Moon;Kyoung Mu Lee

  • Channel Attention Is All You Need for Video Frame Interpolation

    Myungsub Choi;Heewon Kim;Bohyung Han;Ning Xu

  • Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling

    Junseok Kwon;Kyoung Mu Lee

  • A dense stereo matching using two-pass dynamic programming with generalized ground control points

    Jae Chul Kim;Kyoung Mu Lee;Byoung Tae Choi;Sang Uk Lee

  • Robot cleaner, robot cleaning system and method for controlling the same

    Jeong-Gon Song;Jang-youn Ko;Seung-bin Moon;Kyoung-mu Lee

Frequent Co-Authors

Sang Uk Lee
Sang Uk Lee Seoul National University
Minsu Cho
Minsu Cho Pohang University of Science and Technology
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Radu Timofte
Radu Timofte University of Wurzburg
Meredith Yeager
Meredith Yeager Hood College
Bohyung Han
Bohyung Han Seoul National University
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Ho Kim
Ho Kim Seoul National University
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Zhanyi Hu
Zhanyi Hu Chinese Academy of Sciences

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