Toby Perrett
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Advanced Neural Network Applications
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 10
- Multimodal Machine Learning Applications 5
- Video Surveillance and Tracking Methods 4
- Video Analysis and Summarization 3
- Advanced Neural Network Applications 3
- Visual Attention and Saliency Detection 3
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- Anomaly Detection Techniques and Applications 5
- Co-authors
- Dima Damen (15 shared papers)Michael Wray (4 shared papers)Will Price (3 shared papers)Jonathan Munro (3 shared papers)Antonino Furnari (3 shared papers)Davide Moltisanti (4 shared papers)Hazel Doughty (4 shared papers)Giovanni Maria Farinella (3 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)Sensors (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United KingdomItalyNetherlands
In The Last Decade
Toby Perrett
16 papers receiving 726 citations
Toby Perrett's Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 630
- Human-Computer Interaction 74
- Artificial Intelligence 332
- Signal Processing 46
- Control and Systems Engineering 68
Countries citing papers authored by Toby Perrett
This map shows the geographic impact of Toby Perrett'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 Toby Perrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby Perrett more than expected).
Fields of papers citing papers by Toby Perrett
This network shows the impact of papers produced by Toby Perrett. 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 Toby Perrett. The network helps show where Toby Perrett may publish in the future.
Co-authors
The 25 scholars most cited alongside Toby Perrett, 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 | 2019 | 24 | |
| 5 | 2016 | 11 | |
| 6 | 2017 | 10 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2025 | 0 |
About Toby Perrett
Toby Perrett is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computer Networks and Communications and Automotive Engineering, having authored 17 papers that have together received 747 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Multimodal Machine Learning Applications (5 papers), Anomaly Detection Techniques and Applications (5 papers), Video Surveillance and Tracking Methods (4 papers), Video Analysis and Summarization (3 papers), Gait Recognition and Analysis (3 papers), Advanced Neural Network Applications (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (630 citations), Human-Computer Interaction (74 citations), Artificial Intelligence (332 citations), Signal Processing (46 citations) and Control and Systems Engineering (68 citations). Toby Perrett has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Dima Damen, Michael Wray, Will Price, Jonathan Munro, Antonino Furnari, Davide Moltisanti, Hazel Doughty, Giovanni Maria Farinella, Evangelos Kazakos and Sanja Fidler. Their work appears in journals such as International Journal of Computer Vision, Sensors, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems and Lecture notes in computer science.
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.