Daniel Organisciak
Daniel Organisciak
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Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark
BKS Isaac-Medina, M Poyser, D Organisciak, CG Willcocks, TP Breckon, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Triplet loss with channel attention for person re-identification
D Organisciak, C Riachy, N Aslam, HPH Shum
Václav Skala-UNION Agency, 2019
RobIn: A robust interpretable deep network for schizophrenia diagnosis
D Organisciak, HPH Shum, E Nwoye, WL Woo
Expert Systems with Applications 201, 117158, 2022
Makeup style transfer on low-quality images with weighted multi-scale attention
D Organisciak, ESL Ho, HPH Shum
2020 25th International Conference on Pattern Recognition (ICPR), 6011-6018, 2021
Unifying person and vehicle re-identification
D Organisciak, D Sakkos, ESL Ho, N Aslam, HPH Shum
IEEE Access 8, 115673-115684, 2020
UAV-ReID: A benchmark on unmanned aerial vehicle re-identification in video imagery
D Organisciak, M Poyser, A Alsehaim, S Hu, BKS Isaac-Medina, ...
Proceedings of the 2022 International Conference on Computer Vision Theory …, 2022
Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vector for Visual Action Recognition
Z Zuo, D Organisciak, H Shum, L Yang
3D Gaussian descriptor for video-based person re-identification
C Riachy, N Al-Maadeed, D Organisciak, F Khelifi, A Bouridane
Václav Skala-UNION Agency, 2019
Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification
Y Long, Y Tan, D Organisciak, L Yang, L Shao
29th British Machine Vision Conference (BMVC 2018), 2018
Privacy-enhanced zero-shot learning via data-free knowledge transfer
R Gao, F Wan, D Organisciak, J Pu, H Duan, P Zhang, X Hou, Y Long
2023 IEEE International Conference on Multimedia and Expo (ICME), 432-437, 2023
Absolute Zero-Shot Learning
R Gao, F Wan, D Organisciak, J Pu, J Wang, H Duan, P Zhang, X Hou, ...
arXiv preprint arXiv:2202.11319, 2022
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