Victor Lempitsky
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Image Retrieval and Classification Techniques
- Image and Signal Denoising Methods
Papers in
-
- Advanced Image and Video Retrieval Techniques 29
- Advanced Vision and Imaging 23
- Image Retrieval and Classification Techniques 10
- Medical Image Segmentation Techniques 9
- Advanced Neural Network Applications 9
- Generative Adversarial Networks and Image Synthesis 9
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- 3D Shape Modeling and Analysis 11
- Co-authors
- Andrea Vedaldi (8 shared papers)Dmitry Ulyanov (6 shared papers)Andrew Zisserman (13 shared papers)Carsten Rother (7 shared papers)Vadim Lebedev (3 shared papers)Artem Babenko (4 shared papers)Ken Chatfield (1 shared paper)Pushmeet Kohli (6 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)International Journal of Computer Vision (2 papers)IEEE Access (2 papers)Bulletin of the Polish Academy of Sciences Technical Sciences (2 papers)IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (1 paper)
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
Victor Lempitsky
76 papers receiving 8.1k citations
Victor Lempitsky's Hit Papers
Peers
Comparison fields: 5 of 166
- Computer Vision and Pattern Recognition 6.6k
- Computer Graphics and Computer-Aided Design 552
- Media Technology 1.0k
- Artificial Intelligence 1.8k
- Biophysics 254
Countries citing papers authored by Victor Lempitsky
This map shows the geographic impact of Victor Lempitsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Victor Lempitsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Lempitsky more than expected).
Fields of papers citing papers by Victor Lempitsky
This network shows the impact of papers produced by Victor Lempitsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Victor Lempitsky. The network helps show where Victor Lempitsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Victor Lempitsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Image Prior Hit paper breakdown → | 2018 | 1055 |
| 2 | Learning To Count Objects in Images Hit paper breakdown → | 2010 | 615 |
| 3 | Resolution-robust Large Mask Inpainting with Fourier Convolutions Hit paper breakdown → | 2022 | 551 |
| 4 | The devil is in the details: an evaluation of recent feature encoding methods Hit paper breakdown → | 2011 | 534 |
| 5 | Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis Hit paper breakdown → | 2017 | 497 |
| 6 | Aggregating Local Deep Features for Image Retrieval Hit paper breakdown → | 2015 | 448 |
| 7 | Hough Forests for Object Detection, Tracking, and Action Recognition Hit paper breakdown → | 2011 | 399 |
| 8 | Deep Image Prior Hit paper breakdown → | 2020 | 394 |
| 9 | Texture Networks: Feed-forward Synthesis of Textures and Stylized Images Hit paper breakdown → | 2016 | 302 |
| 10 | 2007 | 271 | |
| 11 | 2009 | 269 | |
| 12 | 2016 | 222 | |
| 13 | 2013 | 161 | |
| 14 | 2014 | 156 | |
| 15 | 2012 | 138 | |
| 16 | 2011 | 130 | |
| 17 | 2007 | 127 | |
| 18 | 2012 | 125 | |
| 19 | 2009 | 124 | |
| 20 | 2016 | 117 |
About Victor Lempitsky
Victor Lempitsky is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 81 papers that have together received 8.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (29 papers), Advanced Vision and Imaging (23 papers), 3D Shape Modeling and Analysis (11 papers), Image Retrieval and Classification Techniques (10 papers), Robotics and Sensor-Based Localization (10 papers), Medical Image Segmentation Techniques (9 papers), Advanced Neural Network Applications (9 papers) and Generative Adversarial Networks and Image Synthesis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.6k citations), Computer Graphics and Computer-Aided Design (552 citations), Media Technology (1.0k citations), Artificial Intelligence (1.8k citations) and Biophysics (254 citations). Victor Lempitsky has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Andrea Vedaldi, Dmitry Ulyanov, Andrew Zisserman, Carsten Rother, Vadim Lebedev, Artem Babenko, Ken Chatfield, Pushmeet Kohli, Yuning Chai and Olga Barinova. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Access, Bulletin of the Polish Academy of Sciences Technical Sciences and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.