4 citations · 8 across the 3 of their papers we have counts for
3 papers
BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation
Tamás Karácsony, João Carmona, João Paulo Silva Cunha
Human Pose Estimation (HPE) from monocular RGB images is crucial for clinical in-bed skeleton-based action recognition, however, it poses unique challenges for HPE models due to th…
BlanketGen - A synthetic blanket occlusion augmentation pipeline for MoCap datasets
João Carmona, Tamás Karácsony, João Paulo Silva Cunha
Human motion analysis has seen drastic improvements recently, however, due to the lack of representative datasets, for clinical in-bed scenarios it is still lagging behind. To addr…
BlanketSet -- A clinical real-world in-bed action recognition and qualitative semi-synchronised MoCap dataset
João Carmona, Tamás Karácsony, João Paulo Silva Cunha
Clinical in-bed video-based human motion analysis is a very relevant computer vision topic for several relevant biomedical applications. Nevertheless, the main public large dataset…