Matthew Poyser
Research Assistant (Part-Time)
, 2021 - 2021
Durham University
, United Kingdom
- Research interests: Computer Vision, Neural Architecture Search
- Funded by Dr Shum's 2020 Security Technology Research Innovation Grants Programme project
- Collaborated with General Autonomy Ltd., a start-up drone company.
Grants Involved
Tracking Drones Across Different Platforms with Machine Vision
Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £32,727, Research Assistant (PI: Hubert P. H. Shum)
Received from The Catapult Network (S-TRIG), UK, 2020-2021
Project Page
Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £32,727, Research Assistant (PI: Hubert P. H. Shum)
Received from The Catapult Network (S-TRIG), UK, 2020-2021
Project Page
Publications with the Team
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
Proceedings of the 2022 International Conference on Computer Vision Theory and Applications (VISAPP), 2022
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum
Webpage Paper GitHub Cite BibTeX Cite RIS Cite Plain
Proceedings of the 2022 International Conference on Computer Vision Theory and Applications (VISAPP), 2022
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum
Webpage Paper GitHub Cite BibTeX Cite RIS Cite Plain
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark H5-Index: 66# Citation: 58#
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum
Webpage Paper GitHub Cite BibTeX Cite RIS Cite Plain
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum
Webpage Paper GitHub Cite BibTeX Cite RIS Cite Plain
Links
Webpage
