3 papers
cs.CV2026
CardioMorphNet: Cardiac Motion Prediction Using a Shape-Guided Bayesian Recurrent Deep Network
Reza Akbari Movahed, Abuzar Rezaee, Arezoo Zakeri +3
Accurate cardiac motion estimation from cine cardiac magnetic resonance (CMR) images is vital for assessing cardiac function and detecting its abnormalities. Existing methods often…
cs.GR2026
SWIM: Single-Instance Whole-Body Imitation for swiMming
Binglun Wang, Edmond S. L. Ho, He Wang
We propose a new method for synthesizing physically-based swimming motions. Physically-based character animation aims to generate physically valid, controllable, and natural-lookin…
cs.CV2025
UDF-GMA: Uncertainty Disentanglement and Fusion for General Movement Assessment
Zeqi Luo, Ali Gooya, Edmond S. L. Ho
General movement assessment (GMA) is a non-invasive tool for the early detection of brain dysfunction through the qualitative assessment of general movements, and the development o…