Nicolas Charon

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 39

Top Topics

Riemannian Metric

Diffeomorphic Registration

Top Venues

Found. Comput. Math.

SIAM J. Imaging Sci.

Publications

Minglang Yin, Nicolas Charon, Ryan Brody, Lu Lu, Natalia A. Trayanova, Mauro Maggioni
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains. CoRR (2024)
Martin Bauer, Nicolas Charon, Eric Klassen, Sebastian Kurtek, Tom Needham, Thomas Pierron
Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms. J. Nonlinear Sci. 34 (3) (2024)
Emmanuel Hartman, Emery Pierson, Martin Bauer, Mohamed Daoudi, Nicolas Charon
Basis restricted elastic shape analysis on the space of unregistered surfaces. CoRR (2023)
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
A Diffeomorphic Flow-Based Variational Framework for Multi-Speaker Emotion Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Emmanuel Hartman, Emery Pierson, Martin Bauer, Nicolas Charon, Mohamed Daoudi
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes. ICCV (2023)
Emmanuel Hartman, Yashil Sukurdeep, Eric Klassen, Nicolas Charon, Martin Bauer
Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework. Int. J. Comput. Vis. 131 (5) (2023)
Heyuan Li, Gengxin Shi, Lauren Meckel, Deborah Cunningham, Daniel J. Wescott, Adam D. Sylvester, Nicolas Charon, Wojciech Zbijewski
Body mass classification from skeletal elements using landmark-free morphological atlas estimation with diffeomorphic shape mapping. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2023)
Emmanuel Hartman, Yashil Sukurdeep, Eric Klassen, Nicolas Charon, Martin Bauer
Elastic shape analysis of surfaces with second-order Sobolev metrics: a comprehensive numerical framework. CoRR (2022)
Yashil Sukurdeep, Martin Bauer, Nicolas Charon
A New Variational Model for Shape Graph Registration with Partial Matching Constraints. SIAM J. Imaging Sci. 15 (1) (2022)
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
A Diffeomorphic Flow-based Variational Framework for Multi-speaker Emotion Conversion. CoRR (2022)
Dai-Ni Hsieh, Sylvain Arguillère, Nicolas Charon, Laurent Younes
Mechanistic Modeling of Longitudinal Shape Changes: Equations of Motion and Inverse Problems. SIAM J. Appl. Dyn. Syst. 21 (1) (2022)
Emmanuel Hartman, Emery Pierson, Martin Bauer, Nicolas Charon, Mohamed Daoudi
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes. CoRR (2022)
Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer
Supervised deep learning of elastic SRV distances on the shape space of curves. CoRR (2021)
Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer
Supervised Deep Learning of Elastic SRV Distances on the Shape Space of Curves. CVPR Workshops (2021)
Hsi-Wei Hsieh, Nicolas Charon
Diffeomorphic Registration with Density Changes for the Analysis of Imbalanced Shapes. IPMI (2021)
Martin Bauer, Nicolas Charon, Philipp Harms, Hsi-Wei Hsieh
A Numerical Framework for Elastic Surface Matching, Comparison, and Interpolation. Int. J. Comput. Vis. 129 (8) (2021)
Hsi-Wei Hsieh, Nicolas Charon
Metrics, Quantization and Registration in Varifold Spaces. Found. Comput. Math. 21 (5) (2021)
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
Multi-speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network. CoRR (2020)
Martin Bauer, Nicolas Charon, Philipp Harms, Hsi-Wei Hsieh
A numerical framework for elastic surface matching, comparison, and interpolation. CoRR (2020)
Yashil Sukurdeep, Martin Bauer, Nicolas Charon
An inexact matching approach for the comparison of plane curves with general elastic metrics. CoRR (2020)
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network. INTERSPEECH (2020)
Yashil Sukurdeep, Martin Bauer, Nicolas Charon
An inexact matching approach for the comparison of plane curves with general elastic metrics. ACSSC (2019)
Evan Schwab, Benjamin D. Haeffele, René Vidal, Nicolas Charon
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI. SIAM J. Imaging Sci. 12 (4) (2019)
Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks. INTERSPEECH (2019)
Dai-Ni Hsieh, Sylvain Arguillère, Nicolas Charon, Michael I. Miller, Laurent Younes
A Model for Elastic Evolution on Foliated Shapes. IPMI (2019)
Martin Bauer, Nicolas Charon, Philipp Harms
Inexact Elastic Shape Matching in the Square Root Normal Field Framework. GSI (2019)
Evan Schwab, René Vidal, Nicolas Charon
Joint spatial-angular sparse coding for dMRI with separable dictionaries. Medical Image Anal. 48 (2018)
Evan Schwab, Benjamin D. Haeffele, Nicolas Charon, René Vidal
Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI. CoRR (2018)
Nicolas Charon, Benjamin Charlier, Alain Trouvé
Metamorphoses of Functional Shapes in Sobolev Spaces. Found. Comput. Math. 18 (6) (2018)
Sieun Lee, Nicolas Charon, Benjamin Charlier, Karteek Popuri, Evgeniy Lebed, Marinko V. Sarunic, Alain Trouvé, Mirza Faisal Beg
Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework. Medical Image Anal. 35 (2017)
Martin Bauer, Martins Bruveris, Nicolas Charon, Jakob Møller-Andersen
Varifold-Based Matching of Curves via Sobolev-Type Riemannian Metrics. GRAIL/MFCA/MICGen@MICCAI (2017)
Irene Kaltenmark, Benjamin Charlier, Nicolas Charon
A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds. CVPR (2017)
Benjamin Charlier, Nicolas Charon, Alain Trouvé
The Fshape Framework for the Variability Analysis of Functional Shapes. Found. Comput. Math. 17 (2) (2017)
Kwame S. Kutten, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Jordan Matelsky, Alexander D. Baden, Kunal Lillaney, Karl Deisseroth, Li Ye, Joshua T. Vogelstein
A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information. MICCAI (1) (2017)
Evan Schwab, René Vidal, Nicolas Charon
($k, q$)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior. CoRR (2017)
Evan Schwab, René Vidal, Nicolas Charon
Spatial-Angular Sparse Coding for HARDI. MICCAI (3) (2016)
Evan Schwab, René Vidal, Nicolas Charon
Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries. CoRR (2016)
Kwame S. Kutten, Joshua T. Vogelstein, Nicolas Charon, Li Ye, Karl Deisseroth, Michael I. Miller
Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM. CoRR (2016)
Kwame S. Kutten, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Karl Deisseroth, Li Ye, Joshua T. Vogelstein
A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images. CoRR (2016)
Stanley Durrleman, Marcel Prastawa, Nicolas Charon, Julie R. Korenberg, Sarang C. Joshi, Guido Gerig, Alain Trouvé
Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage 101 (2014)
Benjamin Charlier, Nicolas Charon, Alain Trouvé
The fshape framework for the variability analysis of functional shapes. CoRR (2014)
Nicolas Charon, Alain Trouvé
Functional Currents: A New Mathematical Tool to Model and Analyse Functional Shapes. J. Math. Imaging Vis. 48 (3) (2014)
Nicolas Charon, Alain Trouvé
The Varifold Representation of Nonoriented Shapes for Diffeomorphic Registration. SIAM J. Imaging Sci. 6 (4) (2013)
Nicolas Charon, Alain Trouvé
The varifold representation of non-oriented shapes for diffeomorphic registration CoRR (2013)
Nicolas Charon, Alain Trouvé
Functional Currents : a new mathematical tool to model and analyse functional shapes CoRR (2012)