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Computer Science
Korea
2026

D-Index & Metrics

Computer Science

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

Kyoung Mu 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 Kyoung Mu 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: 288 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Kyoung Mu 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 Kyoung Mu 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: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

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
Daehee Kang
Daehee Kang Seoul National University
Keun-Young Yoo
Keun-Young Yoo Seoul National University
Dong-Young Noh
Dong-Young Noh Seoul National University
Minsu Cho
Minsu Cho Pohang University of Science and Technology
Qing Lan
Qing Lan National Institutes of Health
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Stephen J. Chanock
Stephen J. Chanock National Institutes of Health
Radu Timofte
Radu Timofte University of Wurzburg
Chien-Jen Chen
Chien-Jen Chen Academia Sinica

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