ES-VAE applies TSRVF representation on Kendall's shape manifold inside a VAE to generate and classify skeletal trajectories while removing rigid transformations and timing variability, showing gains over standard VAEs on gait scoring and NTU action recognition.
Scientific Data , volume=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
An Elastic Shape Variational Autoencoder for Skeleton Pose Trajectories
ES-VAE applies TSRVF representation on Kendall's shape manifold inside a VAE to generate and classify skeletal trajectories while removing rigid transformations and timing variability, showing gains over standard VAEs on gait scoring and NTU action recognition.