Elliot J. Crowley
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- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 4
- Generative Adversarial Networks and Image Synthesis 2
- Image Retrieval and Classification Techniques 2
- Signal Processing top 10%
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning 6
- Machine Learning and Data Classification 5
- Domain Adaptation and Few-Shot Learning 5
- Media Technology top 10%
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- Andrew ZissermanAmos StorkeyJack TurnerMichael O’BoyleOmkar ParkhiValentin RaduJosé CanoLichao Huang
- Journals
- IEEE Access (1 paper)ACM Transactions on Architecture and Code Optimization (1 paper)Edinburgh Research Explorer (University of Edinburgh) (3 papers)
- Partner nations
- United KingdomCanadaIreland
In The Last Decade
Elliot J. Crowley
18 papers receiving 465 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 387
- Signal Processing 53
- Artificial Intelligence 116
- Media Technology 30
- Human-Computer Interaction 17
Countries citing papers authored by Elliot J. Crowley
This map shows the geographic impact of Elliot J. Crowley'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 Elliot J. Crowley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elliot J. Crowley more than expected).
Fields of papers citing papers by Elliot J. Crowley
This network shows the impact of papers produced by Elliot J. Crowley. 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 Elliot J. Crowley. The network helps show where Elliot J. Crowley may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Elliot J. Crowley, 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 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 10 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 7 | |
| 6 | Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | 2020 | 4 |
| 7 | BlockSwap: Fisher-guided Block Substitution for Network Compression. | 2019 | 2 |
| 8 | Deep Kernel Transfer in Gaussian Processes for Few-shot Learning | 2019 | 8 |
| 9 | 2019 | 25 | |
| 10 | 2019 | 7 | |
| 11 | HAKD: Hardware Aware Knowledge Distillation. | 2018 | 1 |
| 12 | Moonshine: Distilling with Cheap Convolutions | 2018 | 27 |
| 13 | 2018 | 18 | |
| 14 | 2015 | 23 | |
| 15 | 2014 | 48 | |
| 16 | British Machine Vision Conference, 2014 | 2014 | 285 |
| 17 | In Proceedings British Machine Vision Conference 2013 | 2013 | 1 |
| 18 | 2013 | 12 |
About Elliot J. Crowley
Elliot J. Crowley is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 18 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Adversarial Robustness in Machine Learning (6 papers), Machine Learning and Data Classification (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (387 citations), Signal Processing (53 citations) and Artificial Intelligence (116 citations). Elliot J. Crowley has collaborated with scholars based in United Kingdom, Canada and Ireland. Frequent co-authors include Andrew Zisserman, Amos Storkey, Jack Turner, Michael O’Boyle, Omkar Parkhi, Valentin Radu, José Cano, Lichao Huang, Chenhongyi Yang and Massimiliano Patacchiola. Their work appears in journals such as IEEE Access, ACM Transactions on Architecture and Code Optimization and Edinburgh Research Explorer (University of Edinburgh).
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.