World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10044
World Ranking
5357
National Ranking
33

Minsu Cho 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 Minsu Cho 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: 142 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Minsu Cho 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 Minsu Cho 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Minsu Cho is affiliated with Pohang University of Science and Technology in South Korea. The primary field of research is computer science, with a particular focus on subfields such as computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, management information systems, and industrial and manufacturing engineering.

The topics covered extensively in Cho's work include human pose and action recognition, multimodal machine learning applications, advanced image and video retrieval techniques, anomaly detection techniques and applications, domain adaptation and few-shot learning, advanced neural network applications, and video surveillance and tracking methods.

Cho has a significant publication record, having contributed frequently to venues that include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • BMC Public Health
  • IEEE Security & Privacy

Notable recent papers authored or co-authored by Cho include:

  • "Autoregressive Image Generation using Residual Quantization," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs," 2020, arXiv (Cornell University)
  • "Integrative Few-Shot Learning for Classification and Segmentation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Detector-Free Weakly Supervised Group Activity Recognition," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Future Transformer for Long-term Action Anticipation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Cho collaborates frequently with several researchers, including:

  • Suha Kwak
  • Chinmay Hegde
  • Manjin Kim
  • Heeseung Kwon
  • Juhong Min

Best Publications

  • Relational Knowledge Distillation

    Wonpyo Park;Dongju Kim;Yan Lu;Minsu Cho

  • Reweighted random walks for graph matching

    Minsu Cho;Jungmin Lee;Kyoung Mu Lee

  • Proxy Anchor Loss for Deep Metric Learning

    Sungyeon Kim;Dongwon Kim;Minsu Cho;Suha Kwak

  • ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization

    Vadim Kantorov;Maxime Oquab;Minsu Cho;Ivan Laptev

  • Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals

    Minsu Cho;Suha Kwak;Cordelia Schmid;Jean Ponce

  • Local-Global Video-Text Interactions for Temporal Grounding

    Jonghwan Mun;Minsu Cho;Bohyung Han

  • Multi-object Tracking with Quadruplet Convolutional Neural Networks

    Jeany Son;Mooyeol Baek;Minsu Cho;Bohyung Han

  • Hyper-graph matching via reweighted random walks

    Jungmin Lee;Minsu Cho;Kyoung Mu Lee

  • Robust Guided Image Filtering Using Nonconvex Potentials

    Bumsub Ham;Minsu Cho;Jean Ponce

  • Learning Graphs to Match

    Minsu Cho;Karteek Alahari;Jean Ponce

  • Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization

    Junchi Yan;Minsu Cho;Hongyuan Zha;Xiaokang Yang

  • Robust image filtering using joint static and dynamic guidance

    Bumsub Ham;Minsu Cho;Jean Ponce

  • SCNet: Learning Semantic Correspondence

    Kai Han;Rafael S. Rezende;Bumsub Ham;Kwan-Yee K. Wong

  • Progressive graph matching: Making a move of graphs via probabilistic voting

    Minsu Cho;Kyoung Mu Lee

  • Feature correspondence and deformable object matching via agglomerative correspondence clustering

    Minsu Cho;Jungmin Lee;Kyoung Mu Lee

  • MotionSqueeze: Neural Motion Feature Learning for Video Understanding

    Heeseung Kwon;Manjin Kim;Suha Kwak;Minsu Cho

  • InstaGAN: Instance-aware Image-to-Image Translation

    Sangwoo Mo;Minsu Cho;Jinwoo Shin

  • Unsupervised Object Discovery and Tracking in Video Collections

    Suha Kwak;Minsu Cho;Ivan Laptev;Jean Ponce

  • Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers

    Minsu Cho;Jian Sun;Olivier Duchenne;Jean Ponce

  • Freeze Discriminator: A Simple Baseline for Fine-tuning GANs.

    Sangwoo Mo;Minsu Cho;Jinwoo Shin

  • Proposal Flow

    Bumsub Ham;Minsu Cho;Cordelia Schmid;Jean Ponce

  • Proposal Flow: Semantic Correspondences from Object Proposals

    Bumsub Ham;Minsu Cho;Cordelia Schmid;Jean Ponce

  • The SD Filter: Robust Image Filtering Using Joint Static and Dynamic Guidance

    Bumsub Ham;Minsu Cho;Jean Ponce;Jean Ponce

Frequent Co-Authors

Jean Ponce
Jean Ponce École Normale Supérieure
Suha Kwak
Suha Kwak Korea Foundation for Max Planck POSTECH
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
Bohyung Han
Bohyung Han Seoul National University
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Ivan Laptev
Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence
Bumsub Ham
Bumsub Ham Yonsei University
Jinwoo Shin
Jinwoo Shin Korea Advanced Institute of Science and Technology
Soumik Sarkar
Soumik Sarkar Iowa State University
Baskar Ganapathysubramanian
Baskar Ganapathysubramanian Iowa State University

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