Emmanuel Hartman

15 papers A* 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning from Landmarks, Curves, Surfaces, and Shapes in Geomstats.
ACM Trans. Math. Softw.
Luís F. Pereira, Alice Le Brigant, Adele Myers, Emmanuel Hartman, Amil Khan, Malik Tuerkoen, Trey Dold, Mengyang Gu, Pablo Suárez-Serrato, Nina Miolane
2025 J jnl
Basis Restricted Elastic Shape Analysis on the Space of Unregistered Surfaces.
Int. J. Comput. Vis.
Emmanuel Hartman, Emery Pierson, Martin Bauer, Mohamed Daoudi, Nicolas Charon
2025 J jnl
SVarM: Linear Support Varifold Machines for Classification and Regression on Geometric Data.
CoRR
Emmanuel Hartman, Nicolas Charon
2024 J jnl
Learning from landmarks, curves, surfaces, and shapes in Geomstats.
CoRR
Luís F. Pereira, Alice Le Brigant, Adele Myers, Emmanuel Hartman, Amil Khan, Malik Tuerkoen, Trey Dold, Mengyang Gu, Pablo Suárez-Serrato, Nina Miolane
2024 J jnl
Self Supervised Networks for Learning Latent Space Representations of Human Body Scans and Motions.
CoRR
Emmanuel Hartman, Nicolas Charon, Martin Bauer
2024 J jnl
Square Root Normal Fields for Lipschitz Surfaces and the Wasserstein Fisher Rao Metric.
SIAM J. Math. Anal.
Emmanuel Hartman, Martin Bauer, Eric Klassen
2023 A* conf
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes.
ICCV
Emmanuel Hartman, Emery Pierson, Martin Bauer, Nicolas Charon, Mohamed Daoudi
2023 J jnl
Basis restricted elastic shape analysis on the space of unregistered surfaces.
CoRR
Emmanuel Hartman, Emery Pierson, Martin Bauer, Mohamed Daoudi, Nicolas Charon
2023 J jnl
Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework.
Int. J. Comput. Vis.
Emmanuel Hartman, Yashil Sukurdeep, Eric Klassen, Nicolas Charon, Martin Bauer
2023 — conf
VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data.
3DOR (Short Papers)
Emmanuel Hartman, Emery Pierson
2023 J jnl
VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data.
CoRR
Emmanuel Hartman, Emery Pierson
2022 J jnl
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes.
CoRR
Emmanuel Hartman, Emery Pierson, Martin Bauer, Nicolas Charon, Mohamed Daoudi
2022 J jnl
Elastic shape analysis of surfaces with second-order Sobolev metrics: a comprehensive numerical framework.
CoRR
Emmanuel Hartman, Yashil Sukurdeep, Eric Klassen, Nicolas Charon, Martin Bauer
2021 — conf
Supervised Deep Learning of Elastic SRV Distances on the Shape Space of Curves.
CVPR Workshops
Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer
2021 J jnl
Supervised deep learning of elastic SRV distances on the shape space of curves.
CoRR
Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer