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Outputs (93)

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
Presentation / Conference Contribution
Isaac-Medina, B. K., Poyser, M., Organisciak, D., Willcocks, C. G., Breckon, T. P., & Shum, H. P. (2021, October). Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. Presented at 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Montreal, BC, Canada

Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both negligent and malicious use. For this reason, the automated detection and tracking of UAV is a fundamental task in aerial security systems. Common technologies for... Read More about Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark.

Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention
Presentation / Conference Contribution
Zhu, M., Men, Q., Ho, E. S., Leung, H., & Shum, H. P. (2021, July). Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention. Presented at 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Athens, Greece

Early prediction of cerebral palsy is essential as it leads to early treatment and monitoring. Deep learning has shown promising results in biomedical engineering thanks to its capacity of modelling complicated data with its non-linear architecture.... Read More about Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention.

Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention
Presentation / Conference Contribution
Organisciak, D., Ho, E. S., & Shum, H. P. (2021, January). Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention. Presented at 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy

Facial makeup style transfer is an extremely challenging sub-field of image-to-image-translation. Due to this difficulty, state-of-the-art results are mostly reliant on the Face Parsing Algorithm, which segments a face into parts in order to easily e... Read More about Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention.