Items where Author is "Organisciak, Daniel"
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Organisciak, Daniel, Shum, Hubert, Nwoye, Ephraim and Woo, Wai Lok (2022) RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis. Expert Systems with Applications, 201. p. 117158. ISSN 0957-4174
Isaac-Medina, Brian K. S., Poyser, Matt, Organisciak, Daniel, Willcocks, Chris G., Breckon, Toby P. and Shum, Hubert P. H. (2021) Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. In: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Proceedings of the IEEE International Conference on Computer Vision . IEEE, Piscataway, NJ, pp. 1223-1232. ISBN 9781665401920, 9781665401913
Organisciak, Daniel, Ho, Edmond and Shum, Hubert (2021) Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention. In: 2020 25th International Conference on Pattern Recognition (ICPR 2020): Milan, Italy, 10-15 January 2021. Proceedings of the International Conference on Pattern Recognition (ICPR) . IEEE, Piscataway, NJ, pp. 6011-6018. ISBN 9781728188096, 9781728188089
Organisciak, Daniel, Sakkos, Dimitris, Ho, Edmond, Aslam, Nauman and Shum, Hubert (2020) Unifying Person and Vehicle Re-Identification. IEEE Access, 8. pp. 115673-115684. ISSN 2169-3536
Organisciak, Daniel, Riachy, Chirine, Aslam, Nauman and Shum, Hubert (2019) Triplet Loss with Channel Attention for Person Re-identification. Journal of WSCG, 27 (2). pp. 161-169. ISSN 1213-6972
Riachy, Chirine, Organisciak, Daniel, Almaadeed, Noor, Khelifi, Fouad and Bouridane, Ahmed (2019) 3D Gaussian descriptor for video-based person re-identification. In: Proceedings of the International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2019. Computer Science Research Notes . Vaclav Skala Union Agency, Czech Republic, p. 173. ISBN 9788086943374
Zuo, Zheming, Organisciak, Daniel, Shum, Hubert and Yang, Longzhi (2018) Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vector for Visual Action Recognition. In: BMVC 2018 - British Machine Vision Conference, 3rd - 6th September 2018, Newcastle upon Tyne, UK.
Long, Yang, Tan, Yao, Organisciak, Daniel, Yang, Longzhi and Shao, Ling (2018) Towards Light-weight Annotations: Fuzzy Interpolative Reasoning for Zero-shot Image Classification. In: BMVC 2018 - British Machine Vision Conference, 3rd - 6th September 2018, Newcastle upon Tyne, UK.