Daniel Organisciak

Northumbria University
PhD
, 2018 - Present

Northumbria University
, United Kingdom
  • Research topic: Attention for computer vision based security monitoring
  • Funded by Northumbria University

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Funding Participated

The Catapult Network (S-TRIG)
Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £29,500, Contributing Researcher (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
Northumbria University
Postgraduate Research Scholarship (Ref: ): £65,000, PhD (PI: Hubert P. H. Shum) ()
Project Title:

Received from Faculty of Engineering and Environment, Northumbria University, UK, 2018-2021
Project Page

Publications with the Team

Webpage
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark Citation: 2##
Proceedings of the 2021 International Conference on Computer Vision Workshop on Anti-UAV (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 Source Code Cite-BibTeX Cite-EndNote Cite-Plain
Webpage
Unifying Person and Vehicle Re-identification Impact Factor: 3.367# Citation: 3##
IEEE Access, 2020
Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum
Webpage DOI Paper Cite-BibTeX Cite-EndNote Cite-Plain
Webpage
Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention Citation: 1##
Proceedings of the 2020 International Conference on Pattern Recognition (ICPR), 2020
Daniel Organisciak, Edmond S. L. Ho and Hubert P. H. Shum
Webpage DOI Paper YouTube Video Presentation Slides Supplementary Materials GitHub Source Code Cite-BibTeX Cite-EndNote Cite-Plain
Webpage
Triplet Loss with Channel Attention for Person Re-identification Citation: 5##
Journal of WSCG - Proceedings of the 2019 International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 2019
Daniel Organisciak, Chirine Riachy, Nauman Aslam and Hubert P. H. Shum
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Webpage
Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition Citation: 3##
Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition (IAHFAR), 2018
Zheming Zuo, Daniel Organisciak, Hubert P. H. Shum and Longzhi Yang
Webpage Paper Cite-BibTeX Cite-EndNote Cite-Plain

Links

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Google Scholar
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ResearchGate
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ORCID
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Last updated on 26 October 2021, RSS Feeds