Emmanuel Hartman

According to our database, Emmanuel Hartman authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Square Root Normal Fields for Lipschitz Surfaces and the Wasserstein Fisher Rao Metric.

Emmanuel Hartman, Martin Bauer, Eric Klassen

SIAM J. Math. Anal., 2024

Self Supervised Networks for Learning Latent Space Representations of Human Body Scans and Motions.

Emmanuel Hartman, Nicolas Charon, Martin Bauer

CoRR, 2024

Learning from landmarks, curves, surfaces, and shapes in Geomstats.

Luís F. Pereira, Alice Le Brigant, Adele Myers, Emmanuel Hartman, Amil Khan, Malik Tuerkoen, Trey Dold, Mengyang Gu, Pablo Suárez-Serrato, Nina Miolane

CoRR, 2024

2023

Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework.

Emmanuel Hartman, Yashil Sukurdeep, Eric Klassen, Nicolas Charon, Martin Bauer

Int. J. Comput. Vis., May, 2023

Basis restricted elastic shape analysis on the space of unregistered surfaces.

Emmanuel Hartman, Emery Pierson, Martin Bauer, Mohamed Daoudi, Nicolas Charon

CoRR, 2023

VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data.

Emmanuel Hartman, Emery Pierson

CoRR, 2023

BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes.

Emmanuel Hartman, Emery Pierson, Martin Bauer, Nicolas Charon, Mohamed Daoudi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Supervised Deep Learning of Elastic SRV Distances on the Shape Space of Curves.

Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021