Dr Daniel Organisciak
PhD
, 2018 - 2022
Northumbria University
, United Kingdom
- Research topic: Neural attention mechanisms for robust and interpretable feature representation learning
- Funded by Northumbria University.
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Grants Involved
Tracking Drones Across Different Platforms with Machine Vision
Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £32,727, Contributing Researcher (PI: Hubert P. H. Shum)
Received from The Catapult Network (S-TRIG), UK, 2020-2021
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Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £32,727, Contributing Researcher (PI: Hubert P. H. Shum)
Received from The Catapult Network (S-TRIG), UK, 2020-2021
Project Page
Postgraduate Research Scholarship: £65,000, PhD (PI: Hubert P. H. Shum)
Received from Faculty of Engineering and Environment, Northumbria University, UK, 2018-2021
Project Page
Received from Faculty of Engineering and Environment, Northumbria University, UK, 2018-2021
Project Page
Publications with the Team
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis Impact Factor: 8.5† Top 25% Journal in Computer Science, Artificial Intelligence† Citation: 10#
Expert Systems with Applications (ESWA), 2022
Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye and Wai Lok Woo
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Expert Systems with Applications (ESWA), 2022
Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye and Wai Lok Woo
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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
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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
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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
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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
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Unifying Person and Vehicle Re-Identification Impact Factor: 3.9†
IEEE Access, 2020
Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum
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IEEE Access, 2020
Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum
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Makeup Style Transfer on Low-Quality Images with Weighted Multi-Scale Attention H5-Index: 58# Citation: 11#
Proceedings of the 2020 International Conference on Pattern Recognition (ICPR), 2020
Daniel Organisciak, Edmond S. L. Ho and Hubert P. H. Shum
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Proceedings of the 2020 International Conference on Pattern Recognition (ICPR), 2020
Daniel Organisciak, Edmond S. L. Ho and Hubert P. H. Shum
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Triplet Loss with Channel Attention for Person Re-Identification Citation: 11#
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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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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Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition
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
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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
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Links
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