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Computer Science
Korea
2026

D-Index & Metrics

Computer Science

D-Index
83
Citations
47417
World Ranking
881
National Ranking
1

In So Kweon 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 In So Kweon 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: 624 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

In So Kweon 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 In So Kweon 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: 83 D-Index — 94th percentile

94% 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

Overview

In So Kweon is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily spans the field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

The scientist's contributions to the academic community include numerous publications in notable venues. Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

In So Kweon's research topics cover a variety of advanced areas, including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Advanced Image Processing Techniques

Examples of recent papers include:

  • A Simple and Light-Weight Attention Module for Convolutional Neural Networks, 2020, International Journal of Computer Vision
  • Learning Open-World Object Proposals Without Learning to Classify, 2022, IEEE Robotics and Automation Letters
  • A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?, 2023, arXiv (Cornell University)
  • One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era, 2023, arXiv (Cornell University)
  • Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

The scientist has collaborated frequently with several co-authors, including:

  • Chaoning Zhang
  • Sanghyun Woo
  • Dong-Jin Kim
  • François Rameau
  • Inkyu Shin

Best Publications

  • CBAM: Convolutional Block Attention Module

    Sanghyun Woo;Jongchan Park;Joon-Young Lee;In So Kweon

  • Adaptive support-weight approach for correspondence search

    Kuk-Jin Yoon;In So Kweon

  • Multispectral pedestrian detection: Benchmark dataset and baseline

    Soonmin Hwang;Jaesik Park;Namil Kim;Yukyung Choi

  • A Tensor-Based Algorithm for High-Order Graph Matching

    O. Duchenne;F. Bach;In-So Kweon;Jean Ponce

  • High quality depth map upsampling for 3D-TOF cameras

    Jaesik Park;Hyeongwoo Kim;Yu-Wing Tai;Michael S. Brown

  • Learning Loss for Active Learning

    Donggeun Yoo;In So Kweon

  • Accurate depth map estimation from a lenslet light field camera

    Hae-Gon Jeon;Jaesik Park;Gyeongmin Choe;Jinsun Park

  • High-resolution terrain map from multiple sensor data

    I.S. Kweon;T. Kanade

  • VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition

    Seokju Lee;Junsik Kim;Jae Shin Yoon;Seunghak Shin

  • Locally adaptive support-weight approach for visual correspondence search

    Kuk-Jin Yoon;In-So Kweon

  • Learning a Deep Convolutional Network for Light-Field Image Super-Resolution

    Youngjin Yoon;Hae-Gon Jeon;Donggeun Yoo;Joon-Young Lee

  • Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision

    Fei Pan;Inkyu Shin;Francois Rameau;Seokju Lee

  • Pixel-Level Domain Transfer

    Donggeun Yoo;Namil Kim;Sunggyun Park;Anthony S. Paek

  • Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles

    Dahun Kim;Donghyeon Cho;In So Kweon

  • KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving

    Yukyung Choi;Namil Kim;Soonmin Hwang;Kibaek Park

  • Learning to Localize Sound Source in Visual Scenes

    Arda Senocak;Tae-Hyun Oh;Junsik Kim;Ming-Hsuan Yang

  • EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images

    Changha Shin;Hae-Gon Jeon;Youngjin Yoon;In So Kweon

  • BAM: Bottleneck Attention Module

    Jongchan Park;Sanghyun Woo;Joon-Young Lee;In So Kweon

  • Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features

    Yunsu Bok;Hae-Gon Jeon;In So Kweon

  • Terrain mapping for a roving planetary explorer

    M. Herbert;C. Caillas;E. Krotkov;I.S. Kweon

Frequent Co-Authors

Joon-Young Lee
Joon-Young Lee Adobe Systems (United States)
Kuk-Jin Yoon
Kuk-Jin Yoon Korea Advanced Institute of Science and Technology
Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Yoshinori Kuno
Yoshinori Kuno Saitama University
Seon Joo Kim
Seon Joo Kim Yonsei University
Zhe Lin
Zhe Lin Adobe Systems (United States)
Tao Mei
Tao Mei Jingdong (China)

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