Nicolas Charon

53 papers A* 2A 2Misc 1Journal 40Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Feature-based morphological analysis of shape graph data. CoRR Murad Hossen, Demetrio Labate, Nicolas Charon
2025	J	`jnl`	A Benamou-Brenier Proximal Splitting Method for Constrained Unbalanced Optimal Transport. CoRR Mao Nishino, Martin Bauer, Tom Needham, Nicolas Charon
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`	Fast k-means clustering in Riemannian manifolds via Fréchet maps: Applications to large-dimensional SPD matrices. CoRR Ji Shi, Nicolas Charon, Andreas Mang, Demetrio Labate, Robert Azencott
2025	J	`jnl`	SVarM: Linear Support Varifold Machines for Classification and Regression on Geometric Data. CoRR Emmanuel Hartman, Nicolas Charon
2024	J	`jnl`	A scalable framework for learning the geometry-dependent solution operators of partial differential equations. Nat. Comput. Sci. Minglang Yin, Nicolas Charon, Ryan Brody, Lu Lu, Natalia A. Trayanova, Mauro Maggioni
2024	J	`jnl`	DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains. CoRR Minglang Yin, Nicolas Charon, Ryan Brody, Lu Lu, Natalia A. Trayanova, Mauro Maggioni
2024	J	`jnl`	Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations. CoRR Zan Ahmad, Shiyi Chen, Minglang Yin, Avisha Kumar, Nicolas Charon, Natalia A. Trayanova, Mauro Maggioni
2024	J	`jnl`	Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms. J. Nonlinear Sci. Martin Bauer, Nicolas Charon, Eric Klassen, Sebastian Kurtek, Tom Needham, Thomas Pierron
2024	J	`jnl`	Self Supervised Networks for Learning Latent Space Representations of Human Body Scans and Motions. CoRR Emmanuel Hartman, Nicolas Charon, Martin Bauer
2023	J	`jnl`	A Diffeomorphic Flow-Based Variational Framework for Multi-Speaker Emotion Conversion. IEEE ACM Trans. Audio Speech Lang. Process. Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
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	—	`conf`	Body mass classification from skeletal elements using landmark-free morphological atlas estimation with diffeomorphic shape mapping. Biomedical Applications in Molecular, Structural, and Functional Imaging Heyuan Li, Gengxin Shi, Lauren Meckel, Deborah Cunningham, Daniel J. Wescott, Adam D. Sylvester, Nicolas Charon, Wojciech Zbijewski
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
2022	J	`jnl`	A Diffeomorphic Flow-based Variational Framework for Multi-speaker Emotion Conversion. CoRR Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2022	J	`jnl`	A New Variational Model for Shape Graph Registration with Partial Matching Constraints. SIAM J. Imaging Sci. Yashil Sukurdeep, Martin Bauer, Nicolas Charon
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
2022	J	`jnl`	Mechanistic Modeling of Longitudinal Shape Changes: Equations of Motion and Inverse Problems. SIAM J. Appl. Dyn. Syst. Dai-Ni Hsieh, Sylvain Arguillère, Nicolas Charon, Laurent Younes
2021	J	`jnl`	A Numerical Framework for Elastic Surface Matching, Comparison, and Interpolation. Int. J. Comput. Vis. Martin Bauer, Nicolas Charon, Philipp Harms, Hsi-Wei Hsieh
2021	—	`conf`	Diffeomorphic Registration with Density Changes for the Analysis of Imbalanced Shapes. IPMI Hsi-Wei Hsieh, Nicolas Charon
2021	J	`jnl`	Metrics, Quantization and Registration in Varifold Spaces. Found. Comput. Math. Hsi-Wei Hsieh, Nicolas Charon
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
2020	J	`jnl`	A numerical framework for elastic surface matching, comparison, and interpolation. CoRR Martin Bauer, Nicolas Charon, Philipp Harms, Hsi-Wei Hsieh
2020	J	`jnl`	An inexact matching approach for the comparison of plane curves with general elastic metrics. CoRR Yashil Sukurdeep, Martin Bauer, Nicolas Charon
2020	A	`conf`	Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network. INTERSPEECH Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2020	J	`jnl`	Multi-speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network. CoRR Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2019	—	`conf`	A Model for Elastic Evolution on Foliated Shapes. IPMI Dai-Ni Hsieh, Sylvain Arguillère, Nicolas Charon, Michael I. Miller, Laurent Younes
2019	Misc	`conf`	An inexact matching approach for the comparison of plane curves with general elastic metrics. ACSSC Yashil Sukurdeep, Martin Bauer, Nicolas Charon
2019	A	`conf`	Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks. INTERSPEECH Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon, Archana Venkataraman
2019	J	`jnl`	Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI. SIAM J. Imaging Sci. Evan Schwab, Benjamin D. Haeffele, René Vidal, Nicolas Charon
2019	—	`conf`	Inexact Elastic Shape Matching in the Square Root Normal Field Framework. GSI Martin Bauer, Nicolas Charon, Philipp Harms
2018	J	`jnl`	Joint spatial-angular sparse coding for dMRI with separable dictionaries. Medical Image Anal. Evan Schwab, René Vidal, Nicolas Charon
2018	J	`jnl`	Metamorphoses of Functional Shapes in Sobolev Spaces. Found. Comput. Math. Nicolas Charon, Benjamin Charlier, Alain Trouvé
2018	J	`jnl`	Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI. CoRR Evan Schwab, Benjamin D. Haeffele, Nicolas Charon, René Vidal
2017	J	`jnl`	($k, q$)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior. CoRR Evan Schwab, René Vidal, Nicolas Charon
2017	A*	`conf`	A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds. CVPR Irene Kaltenmark, Benjamin Charlier, Nicolas Charon
2017	—	`conf`	A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information. MICCAI (1) 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
2017	J	`jnl`	Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework. Medical Image Anal. Sieun Lee, Nicolas Charon, Benjamin Charlier, Karteek Popuri, Evgeniy Lebed, Marinko V. Sarunic, Alain Trouvé, Mirza Faisal Beg
2017	J	`jnl`	The Fshape Framework for the Variability Analysis of Functional Shapes. Found. Comput. Math. Benjamin Charlier, Nicolas Charon, Alain Trouvé
2017	—	`conf`	Varifold-Based Matching of Curves via Sobolev-Type Riemannian Metrics. GRAIL/MFCA/MICGen@MICCAI Martin Bauer, Martins Bruveris, Nicolas Charon, Jakob Møller-Andersen
2016	J	`jnl`	A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images. CoRR Kwame S. Kutten, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Karl Deisseroth, Li Ye, Joshua T. Vogelstein
2016	J	`jnl`	Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM. CoRR Kwame S. Kutten, Joshua T. Vogelstein, Nicolas Charon, Li Ye, Karl Deisseroth, Michael I. Miller
2016	J	`jnl`	Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries. CoRR Evan Schwab, René Vidal, Nicolas Charon
2016	—	`conf`	Spatial-Angular Sparse Coding for HARDI. MICCAI (3) Evan Schwab, René Vidal, Nicolas Charon
2014	J	`jnl`	Functional Currents: A New Mathematical Tool to Model and Analyse Functional Shapes. J. Math. Imaging Vis. Nicolas Charon, Alain Trouvé
2014	J	`jnl`	Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage Stanley Durrleman, Marcel Prastawa, Nicolas Charon, Julie R. Korenberg, Sarang C. Joshi, Guido Gerig, Alain Trouvé
2014	J	`jnl`	The fshape framework for the variability analysis of functional shapes. CoRR Benjamin Charlier, Nicolas Charon, Alain Trouvé
2013	J	`jnl`	The Varifold Representation of Nonoriented Shapes for Diffeomorphic Registration. SIAM J. Imaging Sci. Nicolas Charon, Alain Trouvé
2013	J	`jnl`	The varifold representation of non-oriented shapes for diffeomorphic registration CoRR Nicolas Charon, Alain Trouvé
2012	J	`jnl`	Functional Currents : a new mathematical tool to model and analyse functional shapes CoRR Nicolas Charon, Alain Trouvé