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Self-funded PhD Positions Available

• Deep Learning based Computer Graphics for Creating Virtual Characters
• Computer Vision with Deep Learning for Human Data Modelling
• Computer Vision for Drones/UAVs Tracking from Video
• Analyzing the Humans Context in Artworks and Cartoon with Computer Vision
• Machine Learning based Human Data Analysis for Automatic Diseases Diagnosis

Matthew Poyser

Durham University
Part-time Research Assistant
, 2021 - 2021

Durham University
, United Kingdom

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Funding Participated

The Catapult Network (S-TRIG)
Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £29,500, Research Assistant (PI: Hubert P. H. Shum) ()
Project Title: Tracking Drones Across Different Platforms with Machine Vision
Received from The Catapult Network (S-TRIG), UK, 2020-2021
 Project Page

Publications with the Team

Webpage
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark Citation: 1##
arXiv Preprint, 2021
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum
 Webpage arXiv Cite-BibTeX Cite-EndNote Cite-Plain
Webpage
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification
arXiv Preprint, 2021
Daniel Organisciak, Brian K. S. Isaac-Medina, Matthew Poyser, Shanfeng Hu, Toby P. Breckon and Hubert P. H. Shum
 Webpage arXiv Cite-BibTeX Cite-EndNote Cite-Plain

Links

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Last update: 16 June 2021