Nicolas Courty

162 papers A* 14A 4B 9C 12Journal 93Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity. CoRR Pierre Houedry, Nicolas Courty, Florestan Martin-Baillon, Laetitia Chapel, Titouan Vayer
2025	J	`jnl`	Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing. CoRR Clément Bonet, Elsa Cazelles, Lucas Drumetz, Nicolas Courty
2025	J	`jnl`	Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein. Trans. Mach. Learn. Res. Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
2025	J	`jnl`	Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift. CoRR Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
2025	J	`jnl`	Multi-Prototype Hyperbolic Learning Guided by Class Hierarchy. Int. J. Comput. Vis. Paul Berg, Léo Buecher, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty
2025	J	`jnl`	Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. J. Mach. Learn. Res. Clément Bonet, Lucas Drumetz, Nicolas Courty
2025	J	`jnl`	Slicing Unbalanced Optimal Transport. Trans. Mach. Learn. Res. Clément Bonet, Kimia Nadjahi, Thibault Séjourné, Kilian Fatras, Nicolas Courty
2024	J	`jnl`	Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. CoRR Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
2024	A	`conf`	Horospherical Learning with Smart Prototypes. BMVC Paul Berg, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty
2024	J	`jnl`	Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks. IEEE Geosci. Remote. Sens. Lett. Paul Berg, Baki Uzun, Minh-Tan Pham, Nicolas Courty
2024	J	`jnl`	Non-Euclidean Sliced Optimal Transport Sampling. Comput. Graph. Forum Baptiste Genest, Nicolas Courty, David Coeurjolly
2024	J	`jnl`	Non-Euclidean Sliced Optimal Transport Sampling. CoRR Baptiste Genest, Nicolas Courty, David Coeurjolly
2024	—	`conf`	SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
2024	J	`jnl`	Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. CoRR Clément Bonet, Lucas Drumetz, Nicolas Courty
2024	—	`conf`	Train Till You Drop: Towards Stable and Robust Source-Free Unsupervised 3D Domain Adaptation. ECCV (20) Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty
2024	J	`jnl`	Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation. CoRR Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty
2023	A*	`conf`	Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
2023	J	`jnl`	Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
2023	—	`conf`	Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
2023	J	`jnl`	Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li
2023	J	`jnl`	Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. CoRR Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023	C	`conf`	Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification. IGARSS Paul Berg, Minh-Tan Pham, Nicolas Courty
2023	J	`jnl`	Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification. CoRR Paul Berg, Minh-Tan Pham, Nicolas Courty
2023	J	`jnl`	Learning to Generate Wasserstein Barycenters. J. Math. Imaging Vis. Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
2023	—	`conf`	Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
2023	J	`jnl`	Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
2023	J	`jnl`	Optimal Transport with Adaptive Regularisation. CoRR Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023	J	`jnl`	SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
2023	A*	`conf`	SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023	J	`jnl`	SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023	A*	`conf`	Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
2023	J	`jnl`	Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. CoRR Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
2023	A*	`conf`	Spherical Sliced-Wasserstein. ICLR Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
2023	J	`jnl`	Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. Trans. Mach. Learn. Res. Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau
2023	A*	`conf`	Unbalanced CO-optimal Transport. AAAI Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
2023	J	`jnl`	Unbalanced Optimal Transport meets Sliced-Wasserstein. CoRR Thibault Séjourné, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty
2022	A*	`conf`	Aligning individual brains with fused unbalanced Gromov Wasserstein. NeurIPS Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
2022	J	`jnl`	Efficient Gradient Flows in Sliced-Wasserstein Space. Trans. Mach. Learn. Res. Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
2022	J	`jnl`	Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty
2022	J	`jnl`	Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. CoRR Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
2022	J	`jnl`	Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation. CoRR Fang Wu, Nicolas Courty, Zhang Qiang, Jiyu Cui, Ziqing Li
2022	J	`jnl`	Optimal transport for conditional domain matching and label shift. Mach. Learn. Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
2022	J	`jnl`	Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives. Remote. Sens. Paul Berg, Minh-Tan Pham, Nicolas Courty
2022	A*	`conf`	Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022	J	`jnl`	Spherical Sliced-Wasserstein. CoRR Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
2022	A*	`conf`	Template based Graph Neural Network with Optimal Transport Distances. NeurIPS Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022	J	`jnl`	Template based Graph Neural Network with Optimal Transport Distances. CoRR Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022	J	`jnl`	Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
2022	J	`jnl`	Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. CoRR Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche
2022	J	`jnl`	Unbalanced CO-Optimal Transport. CoRR Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
2022	J	`jnl`	Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
2021	J	`jnl`	Factored couplings in multi-marginal optimal transport via difference of convex programming. CoRR Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty
2021	J	`jnl`	Learning to Generate Wasserstein Barycenters. CoRR Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
2021	J	`jnl`	Minibatch optimal transport distances; analysis and applications. CoRR Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2021	A*	`conf`	Online Graph Dictionary Learning. ICML Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
2021	J	`jnl`	Online Graph Dictionary Learning. CoRR Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
2021	J	`jnl`	POT: Python Optimal Transport. J. Mach. Learn. Res. Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer
2021	J	`jnl`	Semi-relaxed Gromov Wasserstein divergence with applications on graphs. CoRR Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2021	J	`jnl`	Sliced-Wasserstein Gradient Flows. CoRR Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
2021	J	`jnl`	Subspace Detours Meet Gromov-Wasserstein. Algorithms Clément Bonet, Titouan Vayer, Nicolas Courty, François Septier, Lucas Drumetz
2021	J	`jnl`	Subspace Detours Meet Gromov-Wasserstein. CoRR Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
2021	A*	`conf`	Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. ICML Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty
2021	J	`jnl`	Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. CoRR Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary
2020	J	`jnl`	A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification. CoRR Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty
2020	C	`conf`	A Cycle Gan Approach for Heterogeneous Domain Adaptation in Land Use Classification. IGARSS Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty
2020	J	`jnl`	An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Comput. Vis. Image Underst. Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty
2020	A*	`conf`	CO-Optimal Transport. NeurIPS Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty
2020	J	`jnl`	CO-Optimal Transport. CoRR Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty
2020	—	`conf`	Contextual Semantic Interpretability. ACCV (4) Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
2020	J	`jnl`	Contextual Semantic Interpretability. CoRR Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
2020	J	`jnl`	Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2020	J	`jnl`	Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN. CoRR Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty
2020	A	`conf`	Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2020	J	`jnl`	Match and Reweight Strategy for Generalized Target Shift. CoRR Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
2020	J	`jnl`	Representation Transfer by Optimal Transport. CoRR Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
2020	J	`jnl`	Time Series Alignment with Global Invariances. CoRR Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
2020	J	`jnl`	Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data. Frontiers Comput. Neurosci. Antoine Ackaouy, Nicolas Courty, Emmanuel Vallée, Olivier Commowick, Christian Barillot, Francesca Galassi
2019	J	`jnl`	End-to-end Learning for Early Classification of Time Series. CoRR Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard
2019	J	`jnl`	Kinematics in the metric space. Comput. Graph. Thibaut Le Naour, Nicolas Courty, Sylvie Gibet
2019	J	`jnl`	Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2019	A	`conf`	Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia
2019	A*	`conf`	Optimal Transport for structured data with application on graphs. ICML Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
2019	J	`jnl`	Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
2019	J	`jnl`	Skeletal mesh animation driven by few positional constraints. Comput. Animat. Virtual Worlds Thibaut Le Naour, Nicolas Courty, Sylvie Gibet
2019	A*	`conf`	Sliced Gromov-Wasserstein. NeurIPS Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel
2019	J	`jnl`	Sliced Gromov-Wasserstein. CoRR Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty
2018	J	`jnl`	An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. CoRR Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty
2018	—	`conf`	DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
2018	J	`jnl`	DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
2018	C	`conf`	Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia
2018	J	`jnl`	Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2018	—	`conf`	Large Scale Optimal Transport and Mapping Estimation. ICLR (Poster) Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel
2018	—	`conf`	Learning Wasserstein Embeddings. ICLR (Poster) Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
2018	J	`jnl`	Optimal Transport for structured data. CoRR Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2018	J	`jnl`	Wasserstein Distance Measure Machines. CoRR Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty
2018	J	`jnl`	Wasserstein discriminant analysis. Mach. Learn. Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
2017	J	`jnl`	Data Dependent Kernel Approximation using Pseudo Random Fourier Features. CoRR Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin
2017	C	`conf`	Hyperspectral and multispectral wasserstein barycenter for image fusion. IGARSS Jamila Mifdal, Bartomeu Coll, Nicolas Courty, Jacques Froment, Béatrice Vedel
2017	J	`jnl`	Joint Distribution Optimal Transportation for Domain Adaptation. CoRR Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
2017	—	`conf`	Joint distribution optimal transportation for domain adaptation. NIPS Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
2017	J	`jnl`	Learning Wasserstein Embeddings. CoRR Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
2017	J	`jnl`	Optimal Transport for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
2017	C	`conf`	Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. IGARSS Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard
2017	J	`jnl`	Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre
2016	B	`conf`	A new penalisation term for image retrieval in clique neural networks. ESANN Romain Huet, Nicolas Courty, Sébastien Lefèvre
2016	J	`jnl`	Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Sina Nakhostin, Harold Clenet, Thomas Corpetti, Nicolas Courty
2016	—	`conf`	Mapping Estimation for Discrete Optimal Transport. NIPS Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard
2016	J	`jnl`	Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. CoRR Devis Tuia, Rémi Flamary, Nicolas Courty
2016	—	`conf`	Optimal spectral transportation with application to music transcription. NIPS Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
2016	J	`jnl`	Optimal spectral transportation with application to music transcription. CoRR Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
2016	C	`conf`	Optimal transport for data fusion in remote sensing. IGARSS Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti
2016	—	`conf`	Supervised planetary unmixing with optimal transport. WHISPERS Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti
2016	C	`conf`	Unsupervised classifier selection approach for hyperspectral image classification. IGARSS Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre
2016	J	`jnl`	Wasserstein Discriminant Analysis. CoRR Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
2015	J	`jnl`	Generalized conditional gradient: analysis of convergence and applications. CoRR Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty
2015	—	`conf`	Multitemporal classification without new labels: A solution with optimal transport. MultiTemp Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty
2015	J	`jnl`	Optimal Transport for Domain Adaptation. CoRR Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
2014	B	`conf`	An end-member based ordering relation for the morphological description of hyperspectral images. ICIP Erchan Aptoula, Nicolas Courty, Sébastien Lefèvre
2014	—	`conf`	Domain Adaptation with Regularized Optimal Transport. ECML/PKDD (1) Nicolas Courty, Rémi Flamary, Devis Tuia
2014	B	`conf`	Network-Based Correlated Correspondence for Unsupervised Domain Adaptation of Hyperspectral Satellite Images. ICPR Julien Rebetez, Devis Tuia, Nicolas Courty
2014	J	`jnl`	Optimal crowd editing. Graph. Model. Pierre Allain, Nicolas Courty, Thomas Corpetti
2014	J	`jnl`	PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre
2014	J	`jnl`	SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding. Mach. Learn. Nicolas Courty, Xing Gong, Jimmy Vandel, Thomas Burger
2014	J	`jnl`	Unsupervised dense crowd detection by multiscale texture analysis. Pattern Recognit. Lett. Antoine Fagette, Nicolas Courty, Daniel Racoceanu, Jean-Yves Dufour
2014	J	`jnl`	Using the Agoraset dataset: Assessing for the quality of crowd video analysis methods. Pattern Recognit. Lett. Nicolas Courty, Pierre Allain, Clement Creusot, Thomas Corpetti
2013	—	`conf`	A Kernel View on Manifold Sub-sampling Based on Karcher Variance Optimization. GSI Nicolas Courty, Thomas Burger
2013	—	`book`	Contributions aux schémas d'Analyse/Synthèse en Animation par ordinateur. (Contributions to Analysis/Synthesis Schemes in Computer Animation). Nicolas Courty
2013	—	`conf`	Ground Truth for Pedestrian Analysis and Application to Camera Calibration. CVPR Workshops Clement Creusot, Nicolas Courty
2013	—	`conf`	Mitosis detection in breast cancer histological images with mathematical morphology. SIU Erchan Aptoula, Nicolas Courty, Sébastien Lefèvre
2013	J	`jnl`	Spatiotemporal coupling with the 3D+t motion Laplacian. Comput. Animat. Virtual Worlds Thibaut Le Naour, Nicolas Courty, Sylvie Gibet
2012	B	`conf`	A classwise supervised ordering approach for morphology based hyperspectral image classification. ICPR Nicolas Courty, Erchan Aptoula, Sébastien Lefèvre
2012	C	`conf`	Classwise hyperspectral image classification with PerTurbo method. IGARSS Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre
2012	C	`conf`	Fast Motion Retrieval with the Distance Input Space. MIG Thibaut Le Naour, Nicolas Courty, Sylvie Gibet
2012	—	`conf`	Geodesic Analysis on the Gaussian RKHS Hypersphere. ECML/PKDD (1) Nicolas Courty, Thomas Burger, Pierre-François Marteau
2011	—	`conf`	PerTurbo: A New Classification Algorithm Based on the Spectrum Perturbations of the Laplace-Beltrami Operator. ECML/PKDD (1) Nicolas Courty, Thomas Burger, Johann Laurent
2011	J	`jnl`	The ACM Trans. Interact. Intell. Syst. Sylvie Gibet, Nicolas Courty, Kyle Duarte, Thibaut Le Naour
2010	J	`jnl`	Conditional stochastic simulation for character animation. Comput. Animat. Virtual Worlds Nicolas Courty, Anne Cuzol
2010	C	`conf`	Why Is the Creation of a Virtual Signer Challenging Computer Animation? MIG Nicolas Courty, Sylvie Gibet
2009	B	`conf`	A Combined Semantic and Motion Capture Database for Real-Time Sign Language Synthesis. IVA Charly Awad, Nicolas Courty, Kyle Duarte, Thibaut Le Naour, Sylvie Gibet
2009	C	`conf`	A Database Architecture for Real-Time Motion Retrieval. CBMI Charly Awad, Nicolas Courty, Sylvie Gibet
2009	—	`conf`	Crowd Flow Characterization with Optimal Control Theory. ACCV (2) Pierre Allain, Nicolas Courty, Thomas Corpetti
2009	J	`jnl`	Motion Compression using Principal Geodesics Analysis. Comput. Graph. Forum Maxime Tournier, Xiaomao Wu, Nicolas Courty, Elise Arnaud, Lionel Revéret
2008	J	`jnl`	Accelerating 3D Non-Rigid Registration Using Graphics Hardware. Int. J. Image Graph. Nicolas Courty, Pierre Hellier
2008	—	`conf`	Bilateral human motion filtering. EUSIPCO Nicolas Courty
2008	B	`conf`	Evaluating Data-Driven Style Transformation for Gesturing Embodied Agents. IVA Alexis Héloir, Michael Kipp, Sylvie Gibet, Nicolas Courty
2008	—	`conf`	Inverse Kinematics Using Sequential Monte Carlo Methods. AMDO Nicolas Courty, Elise Arnaud
2007	J	`jnl`	Crowd motion capture. Comput. Animat. Virtual Worlds Nicolas Courty, Thomas Corpetti
2007	—	`conf`	Data-Driven Animation of Crowds. MIRAGE Nicolas Courty, Thomas Corpetti
2007	—	`conf`	Exact Principal Geodesic Analysis for data on SO(3). EUSIPCO Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine
2006	—	`ed.`	Gesture in Human-Computer Interaction and Simulation, 6th International Gesture Workshop, GW 2005, Berder Island, France, May 18-20, 2005, Revised Selected Papers Gesture Workshop Sylvie Gibet, Nicolas Courty, Jean-François Kamp
2006	J	`jnl`	Temporal alignment of communicative gesture sequences. Comput. Animat. Virtual Worlds Alexis Héloir, Nicolas Courty, Sylvie Gibet, Franck Multon
2006	B	`conf`	Virtual humanoids endowed with expressive communication gestures : the HuGEx project. SMC Nasser Rezzoug, Philippe Gorce, Alexis Héloir, Sylvie Gibet, Nicolas Courty, Jean-François Kamp, Franck Multon, Catherine Pelachaud
2005	—	`conf`	Captured Motion Data Processing for Real Time Synthesis of Sign Language. Gesture Workshop Alexis Héloir, Sylvie Gibet, Franck Multon, Nicolas Courty
2005	C	`conf`	Simulation of large crowds in emergency situations including gaseous phenomena. Computer Graphics International Nicolas Courty, Soraia Raupp Musse
2003	—	`conf`	A Cinematography System for Virtual Storytelling. International Conference on Virtual Storytelling Nicolas Courty, Fabrice Lamarche, Stéphane Donikian, Éric Marchand
2003	—	`conf`	A new application for saliency maps: synthetic vision of autonomous actors. ICIP (3) Nicolas Courty, Éric Marchand, Bruno Arnaldi
2003	B	`conf`	Embodied in a Look: Bridging the Gap between Humans and Avatars. IVA Nicolas Courty, Gaspard Breton, Danielle Pelé
2003	A	`conf`	Visual perception based on salient features. IROS Nicolas Courty, Éric Marchand
2002	J	`jnl`	Controlling a camera in a virtual environment. Vis. Comput. Éric Marchand, Nicolas Courty
2001	A*	`conf`	Computer Animation: a new Application for Image-based Visual Servoing. ICRA Nicolas Courty, Éric Marchand
2001	—	`conf`	Through-the-eyes control of a virtual humanoid. CA Nicolas Courty, Éric Marchand, Bruno Arnaldi
2000	B	`conf`	Image-Based Virtual Camera Motion Strategies. Graphics Interface Éric Marchand, Nicolas Courty