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cs.CV2021
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
Hamid Laga, Marcel Padilla, Ian H. Jermyn +3
We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape data sets, which contain observations of objects that evolve and deform over time. Thi…
cs.CV2020
KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition
Racha Friji, Hassen Drira, Faten Chaieb +2
Deep Learning architectures, albeit successful in most computer vision tasks, were designed for data with an underlying Euclidean structure, which is not usually fulfilled since pr…