World's Best Scientists 2026 revealed!
Victor Lempitsky

Victor Lempitsky

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Computer Science
Korea
2026

D-Index & Metrics

Computer Science

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

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
Yuri Boykov
Yuri Boykov University of Waterloo
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
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
Hugo Larochelle
Hugo Larochelle Google (United States)

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