Will Price
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 5%
- Hand Gesture Recognition Systems
Papers in
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- Multimodal Machine Learning Applications 5
- Human Pose and Action Recognition 4
- Video Analysis and Summarization 2
- Advanced Neural Network Applications 1
- Visual Attention and Saliency Detection 1
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- Explainable Artificial Intelligence (XAI) 1
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Dima Damen (5 shared papers)Toby Perrett (3 shared papers)Antonino Furnari (3 shared papers)Michael Wray (3 shared papers)Davide Moltisanti (3 shared papers)Hazel Doughty (3 shared papers)Giovanni Maria Farinella (3 shared papers)Evangelos Kazakos (3 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United KingdomItalyCanada
In The Last Decade
Will Price
5 papers receiving 641 citations
Will Price's Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 569
- Human-Computer Interaction 66
- Artificial Intelligence 291
- Signal Processing 39
- Control and Systems Engineering 66
Countries citing papers authored by Will Price
This map shows the geographic impact of Will Price'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 Will Price with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Price more than expected).
Fields of papers citing papers by Will Price
This network shows the impact of papers produced by Will Price. 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 Will Price. The network helps show where Will Price may publish in the future.
Co-authors
The 12 scholars most cited alongside Will Price, 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 | 2018 | 271 | |
| 2 | Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100 Hit paper breakdown → | 2021 | 247 |
| 3 | 2020 | 134 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 2 |
About Will Price
Will Price is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 662 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (4 papers), Video Analysis and Summarization (2 papers), Advanced Neural Network Applications (1 paper), Visual Attention and Saliency Detection (1 paper), Explainable Artificial Intelligence (XAI) (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (569 citations), Human-Computer Interaction (66 citations), Artificial Intelligence (291 citations), Signal Processing (39 citations) and Control and Systems Engineering (66 citations). Will Price has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Dima Damen, Toby Perrett, Antonino Furnari, Michael Wray, Davide Moltisanti, Hazel Doughty, Giovanni Maria Farinella, Evangelos Kazakos, Jonathan Munro and Sanja Fidler. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science 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.