36 citations · 42 across the 14 of their papers we have counts for
3 papers · 1 filter
Self Supervised Networks for Learning Latent Space Representations of Human Body Scans and Motions
Emmanuel Hartman, Nicolas Charon, Martin Bauer
This paper introduces self-supervised neural network models to tackle several fundamental problems in the field of 3D human body analysis and processing. First, we propose VariShaP…
Sobolev Metrics on Spaces of Discrete Regular Curves
Jonathan Cerqueira, Emmanuel Hartman, Eric Klassen +1
Reparametrization invariant Sobolev metrics on spaces of regular curves have been shown to be of importance in the field of mathematical shape analysis. For practical applications,…
Learning from landmarks, curves, surfaces, and shapes in Geomstats
Luís F. Pereira, Alice Le Brigant, Adele Myers +7
We introduce the shape module of the Python package Geomstats to analyze shapes of objects represented as landmarks, curves and surfaces across fields of natural sciences and engin…