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 Project Page
Postgraduate Research Scholarship (Ref: ): £65,000, PhD (PI: Hubert P. H. Shum) () Received from Faculty of Engineering and Environment, Northumbria University, UK, 2018-2021 Project Page
Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye and Wai Lok Woo, "RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis," Expert Systems with Applications, vol. 201, pp. 117158, Elsevier, 2022.
Bibtex
@article{organisciak22robin, author={Organisciak, Daniel and Shum, Hubert P. H. and Nwoye, Ephraim and Woo, Wai Lok}, journal={Expert Systems with Applications}, title={RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis}, year={2022}, volume={201}, pages={117158}, numpages={12}, doi={10.1016/j.eswa.2022.117158}, issn={0957-4174}, publisher={Elsevier}, }
RIS
TY - JOUR AU - Organisciak, Daniel AU - Shum, Hubert P. H. AU - Nwoye, Ephraim AU - Woo, Wai Lok T2 - Expert Systems with Applications TI - RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis PY - 2022 VL - 201 SP - 117158 EP - 117158 DO - 10.1016/j.eswa.2022.117158 SN - 0957-4174 PB - Elsevier ER -
< ref name="organisciak22robin">{{cite journal |last1=Organisciak |first1=Daniel |last2=Shum |first2=Hubert P. H. |last3=Nwoye |first3=Ephraim |last4=Woo |first4=Wai Lok |title=RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis |journal=Expert Systems with Applications |date=2022 |volume=201 |pages=117158 |doi=10.1016/j.eswa.2022.117158 |issn=0957-4174 |publisher=Elsevier |url=https://arxiv.org/abs/2203.17085 }}< /ref>
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum, "UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery," in VISAPP '22: Proceedings of the 2022 International Conference on Computer Vision Theory and Applications, pp. 136-146, SciTePress, Feb 2022.
Bibtex
@inproceedings{organisciak22uavreid, author={Organisciak, Daniel and Poyser, Matthew and Alsehaim, Aishah and Hu, Shanfeng and Isaac-Medina, Brian K. S. and Breckon, Toby P. and Shum, Hubert P. H.}, booktitle={Proceedings of the 2022 International Conference on Computer Vision Theory and Applications}, series={VISAPP '22}, title={UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery}, year={2022}, month={2}, pages={136--146}, numpages={11}, doi={10.5220/0010836600003124}, isbn={978-989-758-555-5}, publisher={SciTePress}, }
RIS
TY - CONF AU - Organisciak, Daniel AU - Poyser, Matthew AU - Alsehaim, Aishah AU - Hu, Shanfeng AU - Isaac-Medina, Brian K. S. AU - Breckon, Toby P. AU - Shum, Hubert P. H. T2 - Proceedings of the 2022 International Conference on Computer Vision Theory and Applications TI - UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery PY - 2022 Y1 - 2 2022 SP - 136 EP - 146 DO - 10.5220/0010836600003124 SN - 978-989-758-555-5 PB - SciTePress ER -
< ref name="organisciak22uavreid">{{cite conference |last1=Organisciak |first1=Daniel |last2=Poyser |first2=Matthew |last3=Alsehaim |first3=Aishah |last4=Hu |first4=Shanfeng |last5=Isaac-Medina |first5=Brian K. S. |last6=Breckon |first6=Toby P. |last7=Shum |first7=Hubert P. H. |title=UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery |date=2022 |pages=136--146 |doi=10.5220/0010836600003124 |isbn=978-989-758-555-5 |publisher=SciTePress |url=https://arxiv.org/abs/2104.06219 }}< /ref>
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum, "Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark," in ICCVW '21: Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops, pp. 1223-1232, IEEE/CVF, Oct 2021.
Bibtex
@inproceedings{issacmedina21unmanned, author={Isaac-Medina, Brian K. S. and Poyser, Matthew and Organisciak, Daniel and Willcocks, Chris G. and Breckon, Toby P. and Shum, Hubert P. H.}, booktitle={Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops}, series={ICCVW '21}, title={Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark}, year={2021}, month={10}, pages={1223--1232}, numpages={10}, doi={10.1109/ICCVW54120.2021.00142}, publisher={IEEE/CVF}, }
RIS
TY - CONF AU - Isaac-Medina, Brian K. S. AU - Poyser, Matthew AU - Organisciak, Daniel AU - Willcocks, Chris G. AU - Breckon, Toby P. AU - Shum, Hubert P. H. T2 - Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops TI - Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark PY - 2021 Y1 - 10 2021 SP - 1223 EP - 1232 DO - 10.1109/ICCVW54120.2021.00142 PB - IEEE/CVF ER -
< ref name="issacmedina21unmanned">{{cite conference |last1=Isaac-Medina |first1=Brian K. S. |last2=Poyser |first2=Matthew |last3=Organisciak |first3=Daniel |last4=Willcocks |first4=Chris G. |last5=Breckon |first5=Toby P. |last6=Shum |first6=Hubert P. H. |title=Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark |date=2021 |pages=1223--1232 |doi=10.1109/ICCVW54120.2021.00142 |publisher=IEEE/CVF |url=https://arxiv.org/abs/2103.13933 }}< /ref>
Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum, "Unifying Person and Vehicle Re-Identification," IEEE Access, vol. 8, pp. 115673-115684, IEEE, 2020.
Bibtex
@article{daniel20unifying, author={Organisciak, Daniel and Sakkos, Dimitrios and Ho, Edmond S. L. and Aslam, Nauman and Shum, Hubert P. H.}, journal={IEEE Access}, title={Unifying Person and Vehicle Re-Identification}, year={2020}, volume={8}, pages={115673--115684}, numpages={12}, doi={10.1109/ACCESS.2020.3004092}, issn={2169-3536}, publisher={IEEE}, }
RIS
TY - JOUR AU - Organisciak, Daniel AU - Sakkos, Dimitrios AU - Ho, Edmond S. L. AU - Aslam, Nauman AU - Shum, Hubert P. H. T2 - IEEE Access TI - Unifying Person and Vehicle Re-Identification PY - 2020 VL - 8 SP - 115673 EP - 115684 DO - 10.1109/ACCESS.2020.3004092 SN - 2169-3536 PB - IEEE ER -
Daniel Organisciak, Edmond S. L. Ho and Hubert P. H. Shum, "Makeup Style Transfer on Low-Quality Images with Weighted Multi-Scale Attention," in ICPR '20: Proceedings of the 2020 International Conference on Pattern Recognition, pp. 6011-6018, Milan, Italy, Jan 2020.
Bibtex
@inproceedings{organisciak20makeup, author={Organisciak, Daniel and Ho, Edmond S. L. and Shum, Hubert P. H.}, booktitle={Proceedings of the 2020 International Conference on Pattern Recognition}, series={ICPR '20}, title={Makeup Style Transfer on Low-Quality Images with Weighted Multi-Scale Attention}, year={2020}, month={1}, pages={6011--6018}, numpages={8}, doi={10.1109/ICPR48806.2021.9412604}, location={Milan, Italy}, }
RIS
TY - CONF AU - Organisciak, Daniel AU - Ho, Edmond S. L. AU - Shum, Hubert P. H. T2 - Proceedings of the 2020 International Conference on Pattern Recognition TI - Makeup Style Transfer on Low-Quality Images with Weighted Multi-Scale Attention PY - 2020 Y1 - 1 2020 SP - 6011 EP - 6018 DO - 10.1109/ICPR48806.2021.9412604 ER -
< ref name="organisciak20makeup">{{cite conference |last1=Organisciak |first1=Daniel |last2=Ho |first2=Edmond S. L. |last3=Shum |first3=Hubert P. H. |title=Makeup Style Transfer on Low-Quality Images with Weighted Multi-Scale Attention |date=2020 |pages=6011--6018 |doi=10.1109/ICPR48806.2021.9412604 |url=http://doi.org/10.1109/ICPR48806.2021.9412604 }}< /ref>
Daniel Organisciak, Chirine Riachy, Nauman Aslam and Hubert P. H. Shum, "Triplet Loss with Channel Attention for Person Re-Identification," Journal of WSCG, vol. 27, no. 2, pp. 161-169, Plzen, Czech Republic, 2019.
Bibtex
@article{organisciak19triplet, author={Organisciak, Daniel and Riachy, Chirine and Aslam, Nauman and Shum, Hubert P. H.}, journal={Journal of WSCG}, title={Triplet Loss with Channel Attention for Person Re-Identification}, year={2019}, volume={27}, number={2}, pages={161--169}, numpages={9}, doi={10.24132/JWSCG.2019.27.2.9}, issn={1213-6972}, location={Plzen, Czech Republic}, }
RIS
TY - JOUR AU - Organisciak, Daniel AU - Riachy, Chirine AU - Aslam, Nauman AU - Shum, Hubert P. H. T2 - Journal of WSCG TI - Triplet Loss with Channel Attention for Person Re-Identification PY - 2019 VL - 27 IS - 2 SP - 161 EP - 169 DO - 10.24132/JWSCG.2019.27.2.9 SN - 1213-6972 ER -
< ref name="organisciak19triplet">{{cite journal |last1=Organisciak |first1=Daniel |last2=Riachy |first2=Chirine |last3=Aslam |first3=Nauman |last4=Shum |first4=Hubert P. H. |title=Triplet Loss with Channel Attention for Person Re-Identification |journal=Journal of WSCG |date=2019 |volume=27 |issue=2 |pages=161--169 |doi=10.24132/JWSCG.2019.27.2.9 |issn=1213-6972 |url=http://doi.org/10.24132/JWSCG.2019.27.2.9 }}< /ref>
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 Topics: Action Recognition Webpage Cite This Plain Text
Zheming Zuo, Daniel Organisciak, Hubert P. H. Shum and Longzhi Yang, "Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition," in IAHFAR '18: Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition, Newcastle upon Tyne, UK, Sep 2018.
Bibtex
@inproceedings{zuo18saliency, author={Zuo, Zheming and Organisciak, Daniel and Shum, Hubert P. H. and Yang, Longzhi}, booktitle={Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition}, series={IAHFAR '18}, title={Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition}, year={2018}, month={9}, numpages={11}, location={Newcastle upon Tyne, UK}, }
RIS
TY - CONF AU - Zuo, Zheming AU - Organisciak, Daniel AU - Shum, Hubert P. H. AU - Yang, Longzhi T2 - Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition TI - Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition PY - 2018 Y1 - 9 2018 ER -