Toby Perrett

1.7k total citations · 1 hit paper
15 papers, 368 citations indexed

About

Toby Perrett is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Toby Perrett has authored 15 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Toby Perrett's work include Human Pose and Action Recognition (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Video Surveillance and Tracking Methods (4 papers). Toby Perrett is often cited by papers focused on Human Pose and Action Recognition (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Video Surveillance and Tracking Methods (4 papers). Toby Perrett collaborates with scholars based in United Kingdom, Italy and Netherlands. Toby Perrett's co-authors include Dima Damen, Michael Wray, Jonathan Munro, Antonino Furnari, Davide Moltisanti, Hazel Doughty, Giovanni Maria Farinella, Evangelos Kazakos, Will Price and Jian Ma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and International Journal of Computer Vision.

In The Last Decade

Toby Perrett

14 papers receiving 353 citations

Hit Papers

Rescaling Egocentric Vision: Collection, Pipeline and Cha... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
    2021 188 citations Dima Damen, Hazel Doughty et al. International Journal of Computer Vision profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toby Perrett United Kingdom 7 306 163 36 30 28 15 368
Michael Wray United Kingdom 5 351 1.1× 181 1.1× 26 0.7× 32 1.1× 30 1.1× 11 416
Davide Moltisanti Italy 4 265 0.9× 137 0.8× 20 0.6× 25 0.8× 23 0.8× 8 322
Jonathan Munro United Kingdom 3 257 0.8× 129 0.8× 19 0.5× 23 0.8× 27 1.0× 3 302
Will Price United Kingdom 3 255 0.8× 131 0.8× 20 0.6× 23 0.8× 22 0.8× 3 298
Ming Shao United States 4 269 0.9× 134 0.8× 48 1.3× 27 0.9× 9 0.3× 7 323
Wenxuan Zhang China 6 223 0.7× 79 0.5× 23 0.6× 39 1.3× 40 1.4× 13 300
Maryam Ziaeefard Canada 5 260 0.8× 156 1.0× 55 1.5× 36 1.2× 9 0.3× 10 290
Jan Bandouch Germany 9 266 0.9× 106 0.7× 45 1.3× 48 1.6× 22 0.8× 15 344
Yifei Huang Japan 10 296 1.0× 213 1.3× 34 0.9× 40 1.3× 11 0.4× 32 414
Ionuţ Cosmin Duţă Italy 6 230 0.8× 99 0.6× 50 1.4× 23 0.8× 34 1.2× 9 279

Countries citing papers authored by Toby Perrett

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Toby Perrett

This figure shows the co-authorship network connecting the top 25 collaborators of Toby Perrett. A scholar is included among the top collaborators of Toby Perrett 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 Toby Perrett. Toby Perrett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Perrett, Toby, K. Liu, Siddhant Bansal, et al.. (2025). HD-EPIC: A Highly-Detailed Egocentric Video Dataset. Bristol Research (University of Bristol). 23901–23913. 2 indexed citations
2.
Plizzari, Chiara, et al.. (2025). Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind. Explore Bristol Research. 1211–1221.
3.
Perrett, Toby, et al.. (2023). Use Your Head: Improving Long-Tail Video Recognition. 2415–2425. 8 indexed citations
4.
Plizzari, Chiara, Toby Perrett, Barbara Caputo, & Dima Damen. (2023). What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations. Bristol Research (University of Bristol). 13610–13620. 5 indexed citations
5.
Perrett, Toby, Alessandro Masullo, Dima Damen, et al.. (2022). Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning. JMIR Formative Research. 6(9). e33606–e33606. 3 indexed citations
6.
Damen, Dima, et al.. (2022). TVNet: Temporal Voting Network for Action Localization. Bristol Research (University of Bristol). 550–558. 3 indexed citations
7.
Masullo, Alessandro, Toby Perrett, Dima Damen, Tilo Burghardt, & Majid Mirmehdi. (2021). No Need for a Lab: Towards Multi-sensory Fusion for Ambient Assisted Living in Real-world Living Homes. Explore Bristol Research. 328–337. 1 indexed citations
8.
Damen, Dima, Hazel Doughty, Giovanni Maria Farinella, et al.. (2021). Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100. International Journal of Computer Vision. 130(1). 33–55. 188 indexed citations breakdown →
9.
Masullo, Alessandro, Tilo Burghardt, Dima Damen, Toby Perrett, & Majid Mirmehdi. (2020). Person Re-ID by Fusion of Video Silhouettes and Wearable Signals for Home Monitoring Applications. Sensors. 20(9). 2576–2576. 7 indexed citations
10.
Damen, Dima, Hazel Doughty, Giovanni Maria Farinella, et al.. (2020). The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 4125–4141. 104 indexed citations
11.
Masullo, Alessandro, Tilo Burghardt, Dima Damen, Toby Perrett, & Majid Mirmehdi. (2019). Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments. 1599–1607. 6 indexed citations
12.
Perrett, Toby & Dima Damen. (2019). DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition. Bristol Research (University of Bristol). 7844–7853. 22 indexed citations
13.
Perrett, Toby & Dima Damen. (2017). Recurrent Assistance: Cross-Dataset Training of LSTMs on Kitchen Tasks. Explore Bristol Research. 8 indexed citations
14.
Perrett, Toby, Majid Mirmehdi, & Eduardo Días. (2017). Detection of valuable left-behind items in vehicle cabins. 1111–1118. 1 indexed citations
15.
Perrett, Toby, Majid Mirmehdi, & Eduardo Días. (2016). Visual Monitoring of Driver and Passenger Control Panel Interactions. IEEE Transactions on Intelligent Transportation Systems. 18(2). 321–331. 10 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.

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