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.
Learning weighted submanifolds with variational autoencoders and
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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.