Ivan Krasin
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Neural Network Applications 4
- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 1
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- 3D Shape Modeling and Analysis 1
- Co-authors
- Neil Alldrin (4 shared papers)Alexander Kolesnikov (3 shared papers)Jasper Uijlings (3 shared papers)Alina Kuznetsova (3 shared papers)Jordi Pont-Tuset (3 shared papers)Tom Duerig (3 shared papers)Vittorio Ferrari (3 shared papers)Shahab Kamali (3 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Ivan Krasin
5 papers receiving 1.8k citations
Ivan Krasin's Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 822
- Media Technology 102
- Computer Graphics and Computer-Aided Design 29
- Health Informatics 10
Countries citing papers authored by Ivan Krasin
This map shows the geographic impact of Ivan Krasin'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 Ivan Krasin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Krasin more than expected).
Fields of papers citing papers by Ivan Krasin
This network shows the impact of papers produced by Ivan Krasin. 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 Ivan Krasin. The network helps show where Ivan Krasin may publish in the future.
Co-authors
The 18 scholars most cited alongside Ivan Krasin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale Hit paper breakdown → | 2018 | 1011 |
| 2 | The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale Hit paper breakdown → | 2018 | 383 |
| 3 | 2017 | 268 | |
| 4 | 2020 | 130 | |
| 5 | 2023 | 34 |
About Ivan Krasin
Ivan Krasin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Infectious Diseases, having authored 5 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Vision and Imaging (1 paper), Computer Graphics and Visualization Techniques (1 paper), 3D Shape Modeling and Analysis (1 paper), Machine Learning and Data Classification (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (822 citations), Media Technology (102 citations), Computer Graphics and Computer-Aided Design (29 citations) and Health Informatics (10 citations). Ivan Krasin has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Neil Alldrin, Alexander Kolesnikov, Jasper Uijlings, Alina Kuznetsova, Jordi Pont-Tuset, Tom Duerig, Vittorio Ferrari, Shahab Kamali, Stefan Popov and Serge Belongie. Their work appears in journals such as International Journal of Computer Vision and arXiv (Cornell University).
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.