Adrian Bulat
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Signal Processing top 5%
Papers in
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- Multimodal Machine Learning Applications 9
- Advanced Neural Network Applications 8
- Face recognition and analysis 6
- Face and Expression Recognition 3
- Human Pose and Action Recognition 2
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- Domain Adaptation and Few-Shot Learning 10
- Co-authors
- Georgios Tzimiropoulos (24 shared papers)Aaron S. Jackson (2 shared papers)Vasileios Argyriou (1 shared paper)Brais Martínez (9 shared papers)Maja Pantić (4 shared papers)Jean Kossaifi (3 shared papers)Antoine Toisoul (1 shared paper)Michael P. Pound (1 shared paper)
- Journals
- International Journal of Computer Vision (2 papers)Nature Machine Intelligence (1 paper)GigaScience (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Repository@Nottingham (University of Nottingham) (1 paper)
- Partner nations
- United KingdomSouth KoreaUnited States
In The Last Decade
Adrian Bulat
22 papers receiving 905 citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 517
- Signal Processing 104
- Experimental and Cognitive Psychology 83
- Artificial Intelligence 179
- Plant Science 195
Countries citing papers authored by Adrian Bulat
This map shows the geographic impact of Adrian Bulat'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 Adrian Bulat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Bulat more than expected).
Fields of papers citing papers by Adrian Bulat
This network shows the impact of papers produced by Adrian Bulat. 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 Adrian Bulat. The network helps show where Adrian Bulat may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian Bulat, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 246 | |
| 2 | 2017 | 243 | |
| 3 | 2021 | 127 | |
| 4 | 2016 | 40 | |
| 5 | 2020 | 37 | |
| 6 | Knowledge distillation via softmax regression representation learning | 2021 | 32 |
| 7 | 2018 | 28 | |
| 8 | 2023 | 24 | |
| 9 | 2023 | 23 | |
| 10 | XNOR-Net++: Improved binary neural networks. | 2019 | 19 |
| 11 | 2020 | 18 | |
| 12 | 2021 | 17 | |
| 13 | High-Capacity Expert Binary Networks | 2021 | 16 |
| 14 | 2020 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 3 | |
| 19 | Efficient N-Dimensional Convolutions via Higher-Order Factorization | 2019 | 2 |
| 20 | 2024 | 2 |
About Adrian Bulat
Adrian Bulat is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mathematics and Cognitive Neuroscience, having authored 25 papers that have together received 923 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (9 papers), Advanced Neural Network Applications (8 papers), Face recognition and analysis (6 papers), Face and Expression Recognition (3 papers), Biometric Identification and Security (2 papers), Tensor decomposition and applications (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (517 citations), Signal Processing (104 citations), Experimental and Cognitive Psychology (83 citations), Artificial Intelligence (179 citations) and Plant Science (195 citations). Adrian Bulat has collaborated with scholars based in United Kingdom, South Korea and United States. Frequent co-authors include Georgios Tzimiropoulos, Aaron S. Jackson, Vasileios Argyriou, Brais Martínez, Maja Pantić, Jean Kossaifi, Antoine Toisoul, Michael P. Pound, Andrew P. French and Marcus Griffiths. Their work appears in journals such as International Journal of Computer Vision, Nature Machine Intelligence, GigaScience, IEEE Transactions on Pattern Analysis and Machine Intelligence and Repository@Nottingham (University of Nottingham).
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.