Sergey Karayev
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- Media Technology top 0.2%
Papers in
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- Advanced Image and Video Retrieval Techniques 5
- Human Pose and Action Recognition 3
- Generative Adversarial Networks and Image Synthesis 2
- Image Retrieval and Classification Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Trevor Darrell (9 shared papers)Yangqing Jia (4 shared papers)Jonathan Long (2 shared papers)Sergio Guadarrama (1 shared paper)Ross Girshick (1 shared paper)Jeff Donahue (1 shared paper)Evan Shelhamer (1 shared paper)Mario Fritz (8 shared papers)
- Journals
- Educational Data Mining (1 paper)Max Planck Digital Library (2 papers)eScholarship (California Digital Library) (2 papers)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2 papers)Max Planck Institute for Plasma Physics (2 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Sergey Karayev
13 papers receiving 7.8k citations
Sergey Karayev's Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 5.9k
- Media Technology 877
- Artificial Intelligence 2.3k
- Human-Computer Interaction 261
- Signal Processing 479
Countries citing papers authored by Sergey Karayev
This map shows the geographic impact of Sergey Karayev'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 Sergey Karayev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Karayev more than expected).
Fields of papers citing papers by Sergey Karayev
This network shows the impact of papers produced by Sergey Karayev. 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 Sergey Karayev. The network helps show where Sergey Karayev may publish in the future.
Co-authors
The 20 scholars most cited alongside Sergey Karayev, 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 | Caffe Hit paper breakdown → | 2014 | 7779 |
| 2 | 2011 | 164 | |
| 3 | 2017 | 65 | |
| 4 | An Additive Latent Feature Model for Transparent Object Recognition | 2009 | 45 |
| 5 | 2014 | 29 | |
| 6 | Timely Object Recognition | 2012 | 25 |
| 7 | 2011 | 13 | |
| 8 | Dynamic Feature Selection for Classification on a Budget | 2013 | 9 |
| 9 | Grades Are Not Normal: Improving Exam Score Models Using the Logit-Normal Distribution. | 2019 | 9 |
| 10 | 2011 | 8 | |
| 11 | 2018 | 5 | |
| 12 | 2011 | 3 | |
| 13 | 2020 | 1 |
About Sergey Karayev
Sergey Karayev is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Education, Aerospace Engineering and Computer Science Applications, having authored 13 papers that have together received 8.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Educational Assessment and Pedagogy (3 papers), Human Pose and Action Recognition (3 papers), Robotics and Sensor-Based Localization (2 papers), Robotic Locomotion and Control (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.9k citations), Media Technology (877 citations), Artificial Intelligence (2.3k citations), Human-Computer Interaction (261 citations) and Signal Processing (479 citations). Sergey Karayev has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Trevor Darrell, Yangqing Jia, Jonathan Long, Sergio Guadarrama, Ross Girshick, Jeff Donahue, Evan Shelhamer, Mario Fritz, Kate Saenko and Jonathan T. Barron. Their work appears in journals such as Educational Data Mining, Max Planck Digital Library, eScholarship (California Digital Library), 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems and Max Planck Institute for Plasma Physics.
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.