Emmanuel Hartman

Orcid: 0000-0002-5754-2930

According to our database1, Emmanuel Hartman authored at least 7 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Square Root Normal Fields for Lipschitz Surfaces and the Wasserstein Fisher Rao Metric.
SIAM J. Math. Anal., 2024

Learning from landmarks, curves, surfaces, and shapes in Geomstats.
CoRR, 2024

2023
Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework.
Int. J. Comput. Vis., May, 2023

Basis restricted elastic shape analysis on the space of unregistered surfaces.
CoRR, 2023

VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data.
CoRR, 2023

BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


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