Adrian Bulat

3.2k total citations
25 papers, 923 citations indexed

About

Adrian Bulat is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Adrian Bulat has authored 25 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Adrian Bulat's work include Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (9 papers) and Advanced Neural Network Applications (8 papers). Adrian Bulat is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (9 papers) and Advanced Neural Network Applications (8 papers). Adrian Bulat collaborates with scholars based in United Kingdom, South Korea and United States. Adrian Bulat's co-authors include Georgios Tzimiropoulos, Aaron S. Jackson, Vasileios Argyriou, Brais Martínez, Maja Pantić, Jean Kossaifi, Antoine Toisoul, Alexandra J. Townsend, Darren M. Wells and Jonathan A. Atkinson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Nature Machine Intelligence.

In The Last Decade

Adrian Bulat

22 papers receiving 905 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adrian Bulat United Kingdom 15 517 195 179 104 98 25 923
Xi Yin United States 18 1.5k 2.8× 282 1.4× 422 2.4× 336 3.2× 72 0.7× 27 2.0k
Xiujuan Chai China 21 829 1.6× 321 1.6× 64 0.4× 150 1.4× 49 0.5× 69 1.4k
Önsen Toygar Cyprus 19 504 1.0× 156 0.8× 73 0.4× 407 3.9× 9 0.1× 51 845
Chen-Wei Xie China 7 593 1.1× 20 0.1× 429 2.4× 70 0.7× 15 0.2× 12 857
Florian Schroff United States 12 1.1k 2.1× 24 0.1× 520 2.9× 61 0.6× 18 0.2× 18 1.6k
Adam Kortylewski United States 15 632 1.2× 23 0.1× 264 1.5× 40 0.4× 67 0.7× 32 869
Th. Gevers Netherlands 14 1.6k 3.1× 26 0.1× 224 1.3× 70 0.7× 27 0.3× 44 1.9k
Yi Yuan China 15 578 1.1× 22 0.1× 65 0.4× 38 0.4× 188 1.9× 33 890
Weifeng Ge China 12 485 0.9× 37 0.2× 303 1.7× 44 0.4× 11 0.1× 28 901
Chris Solomon United Kingdom 8 332 0.6× 22 0.1× 80 0.4× 31 0.3× 37 0.4× 10 726

Countries citing papers authored by Adrian Bulat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Adrian Bulat

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Bulat. A scholar is included among the top collaborators of Adrian Bulat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adrian Bulat. Adrian Bulat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Bulat, Adrian, et al.. (2025). VladVA: Discriminative Fine-tuning of LVLMs. 4101–4111.
3.
Bulat, Adrian, et al.. (2024). Efficient Vision-Language pre-training via domain-specific learning for human activities. 7978–8000. 1 indexed citations
4.
5.
Yang, Jing, Xiatian Zhu, Adrian Bulat, Brais Martínez, & Georgios Tzimiropoulos. (2024). Knowledge Distillation Meets Open-Set Semi-supervised Learning. International Journal of Computer Vision. 133(1). 315–334. 4 indexed citations
6.
Bulat, Adrian, Enrique Sánchez, Brais Martínez, & Georgios Tzimiropoulos. (2023). ReGen: A good Generative zero-shot video classifier should be Rewarded. 13477–13487.
7.
Bulat, Adrian & Georgios Tzimiropoulos. (2023). Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero-Shot Adaptation of V &L Models. International Journal of Computer Vision. 132(4). 1108–1125. 3 indexed citations
8.
Derakhshani, Mohammad Mahdi, Enrique Sánchez, Adrian Bulat, et al.. (2023). Bayesian Prompt Learning for Image-Language Model Generalization. 15191–15200. 12 indexed citations
9.
Yang, Jing, Brais Martínez, Adrian Bulat, & Georgios Tzimiropoulos. (2021). Knowledge distillation via softmax regression representation learning. Queen Mary Research Online (Queen Mary University of London). 32 indexed citations
10.
Bulat, Adrian, Brais Martínez, & Georgios Tzimiropoulos. (2021). High-Capacity Expert Binary Networks. Queen Mary Research Online (Queen Mary University of London). 16 indexed citations
11.
Bulat, Adrian & Georgios Tzimiropoulos. (2021). Bit-Mixer: Mixed-precision networks with runtime bit-width selection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5168–5177. 17 indexed citations
12.
Martínez, Brais, Jing Yang, Adrian Bulat, & Georgios Tzimiropoulos. (2020). Training Binary Neural Networks with Real-to-Binary Convolutions. arXiv (Cornell University). 37 indexed citations
13.
Cheng, Shiyang, Pingchuan Ma, Georgios Tzimiropoulos, et al.. (2020). Towards Pose-Invariant Lip-Reading. 4357–4361. 14 indexed citations
14.
Yang, Jing, Adrian Bulat, & Georgios Tzimiropoulos. (2020). FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12621–12628. 18 indexed citations
15.
Kossaifi, Jean, Adrian Bulat, Yannis Panagakis, & Maja Pantić. (2019). Efficient N-Dimensional Convolutions via Higher-Order Factorization. arXiv (Cornell University). 2 indexed citations
16.
Bulat, Adrian & Georgios Tzimiropoulos. (2019). XNOR-Net++: Improved binary neural networks.. British Machine Vision Conference. 62. 19 indexed citations
17.
Bulat, Adrian, Jean Kossaifi, Sourav Bhattacharya, et al.. (2019). Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks. 1 indexed citations
18.
Bulat, Adrian & Georgios Tzimiropoulos. (2018). Hierarchical Binary CNNs for Landmark Localization with Limited Resources. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(2). 343–356. 28 indexed citations
19.
Pound, Michael P., Jonathan A. Atkinson, Alexandra J. Townsend, et al.. (2017). Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience. 6(10). 1–10. 246 indexed citations
20.
Bulat, Adrian & Georgios Tzimiropoulos. (2016). Convolutional aggregation of local evidence for large pose face alignment. 86.1–86.12. 40 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xi Yin Breakdown of academic impact, for papers by Xiujuan Chai Breakdown of academic impact, for papers by Önsen Toygar Breakdown of academic impact, for papers by Chen-Wei Xie Breakdown of academic impact, for papers by Florian Schroff Breakdown of academic impact, for papers by Adam Kortylewski Breakdown of academic impact, for papers by Th. Gevers Breakdown of academic impact, for papers by Yi Yuan Breakdown of academic impact, for papers by Weifeng Ge Breakdown of academic impact, for papers by Chris Solomon
Rankless by CCL
2026