Hazel Doughty
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Context-Aware Activity Recognition Systems
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 9
- Multimodal Machine Learning Applications 9
- Video Analysis and Summarization 4
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 1
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Dima Damen (5 shared papers)Davide Moltisanti (3 shared papers)Michael Wray (3 shared papers)Toby Perrett (3 shared papers)Giovanni Maria Farinella (2 shared papers)Will Price (2 shared papers)Evangelos Kazakos (2 shared papers)Jonathan Munro (2 shared papers)
- Journals
- International Journal of Computer Vision (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Nicotine & Tobacco Research (1 paper)Computer Vision and Image Understanding (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)
- Partner nations
- NetherlandsUnited KingdomItaly
In The Last Decade
Hazel Doughty
13 papers receiving 478 citations
Hazel Doughty's Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 366
- Human-Computer Interaction 35
- Artificial Intelligence 192
- Signal Processing 31
- Applied Psychology 11
Countries citing papers authored by Hazel Doughty
This map shows the geographic impact of Hazel Doughty'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 Hazel Doughty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hazel Doughty more than expected).
Fields of papers citing papers by Hazel Doughty
This network shows the impact of papers produced by Hazel Doughty. 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 Hazel Doughty. The network helps show where Hazel Doughty may publish in the future.
Co-authors
The 20 scholars most cited alongside Hazel Doughty, 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 | Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100 Hit paper breakdown → | 2021 | 210 |
| 2 | 2020 | 114 | |
| 3 | 2018 | 76 | |
| 4 | 2018 | 46 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 12 | |
| 7 | Who's Better, Who's Best: Skill Determination in Video using Deep Ranking. | 2017 | 4 |
| 8 | 2024 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2017 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 0 |
About Hazel Doughty
Hazel Doughty is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Ocean Engineering, having authored 14 papers that have together received 493 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Multimodal Machine Learning Applications (9 papers), Video Analysis and Summarization (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Vision and Imaging (2 papers), Reservoir Engineering and Simulation Methods (1 paper), Video Coding and Compression Technologies (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (366 citations), Human-Computer Interaction (35 citations), Artificial Intelligence (192 citations), Signal Processing (31 citations) and Applied Psychology (11 citations). Hazel Doughty has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Dima Damen, Davide Moltisanti, Michael Wray, Toby Perrett, Giovanni Maria Farinella, Will Price, Evangelos Kazakos, Jonathan Munro, Antonino Furnari and Walterio Mayol‐Cuevas. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nicotine & Tobacco Research, Computer Vision and Image Understanding and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.