266 citations · 1.1k across the 69 of their papers we have counts for
6 papers · 1 filter
Automated Coronary Arteries Labeling Via Geometric Deep Learning
Yadan Li, Mohammad Ali Armin, Simon Denman +1
Automatic labelling of anatomical structures, such as coronary arteries, is critical for diagnosis, yet existing (non-deep learning) methods are limited by a reliance on prior topo…
Vision-Based Activity Recognition in Children with Autism-Related Behaviors
Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle +2
Advances in machine learning and contactless sensors have enabled the understanding complex human behaviors in a healthcare setting. In particular, several deep learning systems ha…
SESS: Saliency Enhancing with Scaling and Sliding
Osman Tursun, Simon Denman, Sridha Sridharan +1
High-quality saliency maps are essential in several machine learning application areas including explainable AI and weakly supervised object detection and segmentation. Many techni…
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images
Tharindu Fernando, Clinton Fookes, Harshala Gammulle +2
With tremendous advancements in low-power embedded computing devices and remote sensing instruments, the traditional satellite image processing pipeline which includes an expensive…
Continuous Human Action Recognition for Human-Machine Interaction: A Review
Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman +3
With advances in data-driven machine learning research, a wide variety of prediction models have been proposed to capture spatio-temporal features for the analysis of video streams…
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study
Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka +4
Recently, in-bed human pose estimation has attracted the interest of researchers due to its relevance to a wide range of healthcare applications. Compared to the general problem of…