Nicolas Courty

Orcid: 0000-0003-1353-0126

According to our database1, Nicolas Courty authored at least 125 papers between 2000 and 2024.

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Bibliography

2024
Non-Euclidean Sliced Optimal Transport Sampling.
Comput. Graph. Forum, May, 2024

Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks.
IEEE Geosci. Remote. Sens. Lett., 2024

Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation.
CoRR, 2024

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds.
CoRR, 2024

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection.
CoRR, 2024

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation.
Proceedings of the International Conference on 3D Vision, 2024

2023
Improving molecular representation learning with metric learning-enhanced optimal transport.
Patterns, April, 2023

Learning to Generate Wasserstein Barycenters.
J. Math. Imaging Vis., April, 2023

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows.
Trans. Mach. Learn. Res., 2023

Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein.
CoRR, 2023

Optimal Transport with Adaptive Regularisation.
CoRR, 2023

Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics.
CoRR, 2023

Unbalanced Optimal Transport meets Sliced-Wasserstein.
CoRR, 2023

Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections.
Proceedings of the Topological, 2023

Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals.
Proceedings of the International Conference on Machine Learning, 2023

Spherical Sliced-Wasserstein.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unbalanced CO-optimal Transport.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Time Series Alignment with Global Invariances.
Trans. Mach. Learn. Res., 2022

Efficient Gradient Flows in Sliced-Wasserstein Space.
Trans. Mach. Learn. Res., 2022

Generating Natural Adversarial Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives.
Remote. Sens., 2022

Wasserstein Adversarial Regularization for Learning With Label Noise.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Optimal transport for conditional domain matching and label shift.
Mach. Learn., 2022

Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation.
CoRR, 2022

Template based Graph Neural Network with Optimal Transport Distances.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Aligning individual brains with fused unbalanced Gromov Wasserstein.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semi-relaxed Gromov-Wasserstein divergence and applications on graphs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
POT: Python Optimal Transport.
J. Mach. Learn. Res., 2021

Sliced-Wasserstein Gradient Flows.
CoRR, 2021

Subspace Detours Meet Gromov-Wasserstein.
CoRR, 2021

Semi-relaxed Gromov Wasserstein divergence with applications on graphs.
CoRR, 2021

Factored couplings in multi-marginal optimal transport via difference of convex programming.
CoRR, 2021

Minibatch optimal transport distances; analysis and applications.
CoRR, 2021

Subspace Detours Meet Gromov-Wasserstein.
Algorithms, 2021

Online Graph Dictionary Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data.
Frontiers Comput. Neurosci., 2020

An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images.
Comput. Vis. Image Underst., 2020

Representation Transfer by Optimal Transport.
CoRR, 2020

Match and Reweight Strategy for Generalized Target Shift.
CoRR, 2020

Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN.
CoRR, 2020

Fused Gromov-Wasserstein Distance for Structured Objects.
Algorithms, 2020

CO-Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Cycle Gan Approach for Heterogeneous Domain Adaptation in Land Use Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Learning with minibatch Wasserstein : asymptotic and gradient properties.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Contextual Semantic Interpretability.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Skeletal mesh animation driven by few positional constraints.
Comput. Animat. Virtual Worlds, 2019

Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise.
CoRR, 2019

End-to-end Learning for Early Classification of Time Series.
CoRR, 2019

Kinematics in the metric space.
Comput. Graph., 2019

Sliced Gromov-Wasserstein.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Transport for structured data with application on graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Optimal Transport for Multi-source Domain Adaptation under Target Shift.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Wasserstein discriminant analysis.
Mach. Learn., 2018

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties.
CoRR, 2018

Optimal Transport for structured data.
CoRR, 2018

Wasserstein Distance Measure Machines.
CoRR, 2018

Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Large Scale Optimal Transport and Mapping Estimation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Wasserstein Embeddings.
Proceedings of the 6th International Conference on Learning Representations, 2018

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Optimal Transport for Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Data Dependent Kernel Approximation using Pseudo Random Fourier Features.
CoRR, 2017

Joint distribution optimal transportation for domain adaptation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hyperspectral and multispectral wasserstein barycenter for image fusion.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2016

Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions.
CoRR, 2016

Supervised planetary unmixing with optimal transport.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Mapping Estimation for Discrete Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Optimal spectral transportation with application to music transcription.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Unsupervised classifier selection approach for hyperspectral image classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Optimal transport for data fusion in remote sensing.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A new penalisation term for image retrieval in clique neural networks.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Generalized conditional gradient: analysis of convergence and applications.
CoRR, 2015

Multitemporal classification without new labels: A solution with optimal transport.
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

2014
PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Unsupervised dense crowd detection by multiscale texture analysis.
Pattern Recognit. Lett., 2014

Using the Agoraset dataset: Assessing for the quality of crowd video analysis methods.
Pattern Recognit. Lett., 2014

SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding.
Mach. Learn., 2014

Optimal crowd editing.
Graph. Model., 2014

Domain Adaptation with Regularized Optimal Transport.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Network-Based Correlated Correspondence for Unsupervised Domain Adaptation of Hyperspectral Satellite Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

An end-member based ordering relation for the morphological description of hyperspectral images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Spatiotemporal coupling with the 3D+t motion Laplacian.
Comput. Animat. Virtual Worlds, 2013

Mitosis detection in breast cancer histological images with mathematical morphology.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

A Kernel View on Manifold Sub-sampling Based on Karcher Variance Optimization.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Ground Truth for Pedestrian Analysis and Application to Camera Calibration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Contributions aux schémas d'Analyse/Synthèse en Animation par ordinateur. (Contributions to Analysis/Synthesis Schemes in Computer Animation).
, 2013

2012
Geodesic Analysis on the Gaussian RKHS Hypersphere.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Fast Motion Retrieval with the Distance Input Space.
Proceedings of the Motion in Games - 5th International Conference, 2012

Classwise hyperspectral image classification with PerTurbo method.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

A classwise supervised ordering approach for morphology based hyperspectral image classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
The <i>SignCom</i> system for data-driven animation of interactive virtual signers: Methodology and Evaluation.
ACM Trans. Interact. Intell. Syst., 2011

PerTurbo: A New Classification Algorithm Based on the Spectrum Perturbations of the Laplace-Beltrami Operator.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
Conditional stochastic simulation for character animation.
Comput. Animat. Virtual Worlds, 2010

Why Is the Creation of a Virtual Signer Challenging Computer Animation?
Proceedings of the Motion in Games - Third International Conference, 2010

2009
Motion Compression using Principal Geodesics Analysis.
Comput. Graph. Forum, 2009

A Combined Semantic and Motion Capture Database for Real-Time Sign Language Synthesis.
Proceedings of the Intelligent Virtual Agents, 9th International Conference, 2009

A Database Architecture for Real-Time Motion Retrieval.
Proceedings of the Seventh International Workshop on Content-Based Multimedia Indexing, 2009

Crowd Flow Characterization with Optimal Control Theory.
Proceedings of the Computer Vision, 2009

2008
Accelerating 3D Non-Rigid Registration Using Graphics Hardware.
Int. J. Image Graph., 2008

Evaluating Data-Driven Style Transformation for Gesturing Embodied Agents.
Proceedings of the Intelligent Virtual Agents, 8th International Conference, 2008

Bilateral human motion filtering.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Inverse Kinematics Using Sequential Monte Carlo Methods.
Proceedings of the Articulated Motion and Deformable Objects, 5th International Conference, 2008

2007
Crowd motion capture.
Comput. Animat. Virtual Worlds, 2007

Data-Driven Animation of Crowds.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2007

Exact Principal Geodesic Analysis for data on SO(3).
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Temporal alignment of communicative gesture sequences.
Comput. Animat. Virtual Worlds, 2006

Virtual humanoids endowed with expressive communication gestures : the HuGEx project.
Proceedings of the IEEE International Conference on Systems, 2006

2005
Captured Motion Data Processing for Real Time Synthesis of Sign Language.
Proceedings of the Gesture in Human-Computer Interaction and Simulation, 2005

Simulation of large crowds in emergency situations including gaseous phenomena.
Proceedings of the Computer Graphics International 2005, 2005

2003
A Cinematography System for Virtual Storytelling.
Proceedings of the Virtual Storytelling; Using Virtual Reality Technologies for Storytelling, 2003

Embodied in a Look: Bridging the Gap between Humans and Avatars.
Proceedings of the Intelligent Agents, 4th International Workshop, 2003

Visual perception based on salient features.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

A new application for saliency maps: synthetic vision of autonomous actors.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Controlling a camera in a virtual environment.
Vis. Comput., 2002

2001
Computer Animation: a new Application for Image-based Visual Servoing.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

Through-the-eyes control of a virtual humanoid.
Proceedings of the Fourteenth Conference on Computer Animation, 2001

2000
Image-Based Virtual Camera Motion Strategies.
Proceedings of the Graphics Interface 2000 Conference, 2000


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