World's Best Scientists 2026 revealed!
Victor Lempitsky

Victor Lempitsky

Award Badge
Computer Science
Korea
2026

D-Index & Metrics

Computer Science

D-Index
71
Citations
42447
World Ranking
1725
National Ranking
6

Victor Lempitsky 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 Victor Lempitsky 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: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Victor Lempitsky 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 Victor Lempitsky 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: 71 D-Index — 88th percentile

88% 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

Victor Lempitsky is affiliated with Samsung in South Korea. Their research focuses on the field of Computer Science, with a significant concentration in Computer Vision and Pattern Recognition. They have contributed extensively to various subfields such as Computational Mechanics, Computer Graphics and Computer-Aided Design, Aerospace Engineering, and Media Technology.

The scientist has been actively involved in exploring topics related to Advanced Vision and Imaging, Generative Adversarial Networks and Image Synthesis, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Advanced Image Processing Techniques, Human Pose and Action Recognition, and Face Recognition and Analysis.

Frequent co-authors collaborating with Victor Lempitsky include:

  • Taras Khakhulin (14 joint works)
  • Andrei-Timotei Ardelean (11 joint works)
  • Pavel Solovev (10 joint works)
  • Denis Korzhenkov (9 joint works)
  • Gleb Sterkin (9 joint works)

Victor Lempitsky's research has been published repeatedly in several key venues. The primary publication venues are:

  • arXiv (Cornell University) - 13 publications
  • Zenodo (CERN European Organization for Nuclear Research) - 8 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - 2 publications
  • Lecture Notes in Computer Science - 2 publications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV) - 2 publications

Some of the notable recent papers by Victor Lempitsky include:

  • "Resolution-robust Large Mask Inpainting with Fourier Convolutions," 2022, published in the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Deep Image Prior," 2020, published in the International Journal of Computer Vision
  • "MegaPortraits: One-shot Megapixel Neural Head Avatars," 2022, published in the Proceedings of the 30th ACM International Conference on Multimedia
  • "NPBG++: Accelerating Neural Point-Based Graphics," 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Neural Point-Based Graphics," 2020, published in Lecture Notes in Computer Science

Best Publications

  • Domain-adversarial training of neural networks

    Yaroslav Ganin;Evgeniya Ustinova;Hana Ajakan;Pascal Germain

  • Unsupervised Domain Adaptation by Backpropagation

    Yaroslav Ganin;Victor Lempitsky

  • Instance Normalization: The Missing Ingredient for Fast Stylization.

    Dmitry Ulyanov;Andrea Vedaldi;Victor S. Lempitsky

  • Deep Image Prior

    Victor Lempitsky;Andrea Vedaldi;Dmitry Ulyanov

  • Neural Codes for Image Retrieval

    Artem Babenko;Artem Babenko;Anton Slesarev;Alexander Chigorin;Victor S. Lempitsky

  • Learning To Count Objects in Images

    Victor Lempitsky;Andrew Zisserman

  • The devil is in the details: an evaluation of recent feature encoding methods

    Ken Chatfield;Victor S. Lempitsky;Andrea Vedaldi;Andrew Zisserman

  • Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

    Roman Klokov;Victor Lempitsky

  • Resolution-robust Large Mask Inpainting with Fourier Convolutions

    Roman Suvorov;Elizaveta Logacheva;Anton Mashikhin;Anastasia Remizova

  • Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis

    Dmitry Ulyanov;Andrea Vedaldi;Victor Lempitsky

  • Texture networks: feed-forward synthesis of textures and stylized images

    Dmitry Ulyanov;Vadim Lebedev;Andrea Vedaldi;Victor Lempitsky

  • Hough Forests for Object Detection, Tracking, and Action Recognition

    J. Gall;A. Yao;N. Razavi;L. Van Gool

  • Aggregating Local Deep Features for Image Retrieval

    Artem Babenko Yandex;Victor Lempitsky

  • The Inverted Multi-Index

    Artem Babenko;Victor Lempitsky

  • Class-specific Hough forests for object detection

    Juergen Gall;Victor Lempitsky

  • Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

    Egor Zakharov;Aliaksandra Shysheya;Egor Burkov;Victor Lempitsky

  • Deep Image Prior

    Dmitry Ulyanov;Andrea Vedaldi;Victor S. Lempitsky

  • Optimizing Binary MRFs via Extended Roof Duality

    C. Rother;V. Kolmogorov;V. Lempitsky;M. Szummer

  • Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

    Vadim Lebedev;Vadim Lebedev;Yaroslav Ganin;Maksim Rakhuba;Maksim Rakhuba;Ivan Oseledets

  • Image segmentation with a bounding box prior

    Victor Lempitsky;Pushmeet Kohli;Carsten Rother;Toby Sharp

  • Aggregating Deep Convolutional Features for Image Retrieval

    Artem Babenko;Victor S. Lempitsky

Frequent Co-Authors

Andrew Zisserman
Andrew Zisserman University of Oxford
Carsten Rother
Carsten Rother Heidelberg University
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Yuri Boykov
Yuri Boykov University of Waterloo
Andrew Blake
Andrew Blake University of Cambridge
J. Alison Noble
J. Alison Noble University of Oxford
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Stefan Roth
Stefan Roth Technical University of Darmstadt
Ivan V. Oseledets
Ivan V. Oseledets Skolkovo Institute of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA can lead to many exciting career opportunities across tech and engineering fields. For students seeking flexibility, online degrees offer quality education without the need to relocate or interrupt work. Related disciplines, such as environmental engineering, mechanical engineering, and data science, also provide strong career options.

Those interested in environmental innovation may consider an environmental engineering online degree. For students drawn to design and manufacturing, online mechanical engineering degrees can open doors in diverse industries. If you are fascinated by the foundational science behind technology, a physics degree online is another flexible option that supports roles in research, development, or analytics.

Aspiring data analysts and AI professionals should consider following a data science learning path, as this field is rapidly growing and closely intersects with computer science. Each pathway offers remote learning, industry relevance, and the potential for rewarding careers in today's tech-driven economy.

Best Scientists Citing Victor Lempitsky

Trending Scientists

Recently Published Articles