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2020 – today
- 2024
[j35]Baptiste Genest
, Nicolas Courty, David Coeurjolly:
Non-Euclidean Sliced Optimal Transport Sampling. Comput. Graph. Forum 43(2): i-iii (2024)- [j34]Paul Berg, Baki Uzun, Minh-Tan Pham, Nicolas Courty:
Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c65]Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV 2024: 421-431 - [i51]Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer:
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. CoRR abs/2402.02239 (2024) - [i50]Baptiste Genest, Nicolas Courty, David Coeurjolly:
Non-Euclidean Sliced Optimal Transport Sampling. CoRR abs/2402.16981 (2024) - [i49]Clément Bonet, Lucas Drumetz, Nicolas Courty:
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. CoRR abs/2403.06560 (2024) - [i48]Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty:
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation. CoRR abs/2409.04409 (2024) - 2023
- [j33]Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel:
Learning to Generate Wasserstein Barycenters. J. Math. Imaging Vis. 65(2): 354-370 (2023) - [j32]Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li:
Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns 4(4): 100714 (2023) - [j31]Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau:
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. Trans. Mach. Learn. Res. 2023 (2023) - [c64]Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-optimal Transport. AAAI 2023: 10006-10016 - [c63]Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham:
Spherical Sliced-Wasserstein. ICLR 2023 - [c62]Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty:
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML 2023: 2777-2805 - [c61]Paul Berg, Minh-Tan Pham, Nicolas Courty:
Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification. IGARSS 2023: 6624-6627 - [c60]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS 2023 - [c59]Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS 2023 - [c58]François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) 2023: 341-356 - [c57]Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty:
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML 2023: 334-370 - [i47]Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty:
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. CoRR abs/2303.05798 (2023) - [i46]Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR abs/2304.03251 (2023) - [i45]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR abs/2305.13797 (2023) - [i44]Thibault Séjourné, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty:
Unbalanced Optimal Transport meets Sliced-Wasserstein. CoRR abs/2306.07176 (2023) - [i43]Paul Berg, Minh-Tan Pham, Nicolas Courty:
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification. CoRR abs/2306.09851 (2023) - [i42]Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR abs/2307.01770 (2023) - [i41]François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR abs/2308.12686 (2023) - [i40]Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
Optimal Transport with Adaptive Regularisation. CoRR abs/2310.02925 (2023) - [i39]Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty:
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. CoRR abs/2310.03398 (2023) - 2022
- [j30]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty:
Optimal transport for conditional domain matching and label shift. Mach. Learn. 111(5): 1651-1670 (2022) - [j29]Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7296-7306 (2022) - [j28]Paul Berg, Minh-Tan Pham, Nicolas Courty:
Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives. Remote. Sens. 14(16): 3995 (2022) - [j27]Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty:
Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j26]Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz:
Efficient Gradient Flows in Sliced-Wasserstein Space. Trans. Mach. Learn. Res. 2022 (2022) - [j25]Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard:
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022) - [c56]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR 2022 - [c55]Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion:
Aligning individual brains with fused unbalanced Gromov Wasserstein. NeurIPS 2022 - [c54]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. NeurIPS 2022 - [i38]Fang Wu, Nicolas Courty, Zhang Qiang, Jiyu Cui, Ziqing Li:
Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation. CoRR abs/2202.06208 (2022) - [i37]Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-Optimal Transport. CoRR abs/2205.14923 (2022) - [i36]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. CoRR abs/2205.15733 (2022) - [i35]Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham:
Spherical Sliced-Wasserstein. CoRR abs/2206.08780 (2022) - [i34]Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche:
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. CoRR abs/2209.10873 (2022) - [i33]Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty:
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. CoRR abs/2211.10066 (2022) - 2021
- [j24]Clément Bonet, Titouan Vayer, Nicolas Courty, François Septier, Lucas Drumetz:
Subspace Detours Meet Gromov-Wasserstein. Algorithms 14(12): 366 (2021) - [j23]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:
POT: Python Optimal Transport. J. Mach. Learn. Res. 22: 78:1-78:8 (2021) - [c53]Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty:
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. ICML 2021: 3186-3197 - [c52]Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. ICML 2021: 10564-10574 - [i32]Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Minibatch optimal transport distances; analysis and applications. CoRR abs/2101.01792 (2021) - [i31]Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. CoRR abs/2102.06555 (2021) - [i30]Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel:
Learning to Generate Wasserstein Barycenters. CoRR abs/2102.12178 (2021) - [i29]Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary:
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. CoRR abs/2103.03606 (2021) - [i28]Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty:
Factored couplings in multi-marginal optimal transport via difference of convex programming. CoRR abs/2110.00629 (2021) - [i27]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Semi-relaxed Gromov Wasserstein divergence with applications on graphs. CoRR abs/2110.02753 (2021) - [i26]Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz:
Subspace Detours Meet Gromov-Wasserstein. CoRR abs/2110.10932 (2021) - [i25]Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz:
Sliced-Wasserstein Gradient Flows. CoRR abs/2110.10972 (2021) - 2020
- [j22]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13(9): 212 (2020) - [j21]Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty:
An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Comput. Vis. Image Underst. 191: 102863 (2020) - [j20]Antoine Ackaouy, Nicolas Courty, Emmanuel Vallée, Olivier Commowick, Christian Barillot, Francesca Galassi:
Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data. Frontiers Comput. Neurosci. 14: 19 (2020) - [c51]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. ACCV (4) 2020: 351-368 - [c50]Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS 2020: 2131-2141 - [c49]Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty:
A Cycle Gan Approach for Heterogeneous Domain Adaptation in Land Use Classification. IGARSS 2020: 1961-1964 - [c48]Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty:
CO-Optimal Transport. NeurIPS 2020 - [i24]Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty:
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN. CoRR abs/2001.09993 (2020) - [i23]Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty:
CO-Optimal Transport. CoRR abs/2002.03731 (2020) - [i22]Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard:
Time Series Alignment with Global Invariances. CoRR abs/2002.03848 (2020) - [i21]Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty:
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification. CoRR abs/2004.11245 (2020) - [i20]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty:
Match and Reweight Strategy for Generalized Target Shift. CoRR abs/2006.08161 (2020) - [i19]Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou:
Representation Transfer by Optimal Transport. CoRR abs/2007.06737 (2020) - [i18]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. CoRR abs/2009.08720 (2020)
2010 – 2019
- 2019
- [j19]Thibaut Le Naour, Nicolas Courty, Sylvie Gibet:
Kinematics in the metric space. Comput. Graph. 84: 13-23 (2019) - [j18]Thibaut Le Naour, Nicolas Courty, Sylvie Gibet:
Skeletal mesh animation driven by few positional constraints. Comput. Animat. Virtual Worlds 30(3-4) (2019) - [c47]Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia:
Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS 2019: 849-858 - [c46]Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary:
Optimal Transport for structured data with application on graphs. ICML 2019: 6275-6284 - [c45]Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel:
Sliced Gromov-Wasserstein. NeurIPS 2019: 14726-14736 - [i17]Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard:
End-to-end Learning for Early Classification of Time Series. CoRR abs/1901.10681 (2019) - [i16]Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR abs/1904.03936 (2019) - [i15]Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty:
Sliced Gromov-Wasserstein. CoRR abs/1905.10124 (2019) - [i14]Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR abs/1910.04091 (2019) - 2018
- [j17]Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy:
Wasserstein discriminant analysis. Mach. Learn. 107(12): 1923-1945 (2018) - [c44]Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty:
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) 2018: 467-483 - [c43]Nicolas Courty, Rémi Flamary, Mélanie Ducoffe:
Learning Wasserstein Embeddings. ICLR (Poster) 2018 - [c42]Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel:
Large Scale Optimal Transport and Mapping Estimation. ICLR (Poster) 2018 - [c41]Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia:
Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS 2018: 3643-3646 - [i13]Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty:
Wasserstein Distance Measure Machines. CoRR abs/1803.00250 (2018) - [i12]Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty:
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR abs/1803.10081 (2018) - [i11]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Optimal Transport for structured data. CoRR abs/1805.09114 (2018) - [i10]Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty:
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. CoRR abs/1810.01163 (2018) - [i9]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR abs/1811.02834 (2018) - 2017
- [j16]Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy:
Optimal Transport for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1853-1865 (2017) - [j15]Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre:
Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(4): 2385-2398 (2017) - [c40]Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard:
Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. IGARSS 2017: 5-8 - [c39]Jamila Mifdal, Bartomeu Coll, Nicolas Courty, Jacques Froment, Béatrice Vedel:
Hyperspectral and multispectral wasserstein barycenter for image fusion. IGARSS 2017: 3373-3376 - [c38]Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy:
Joint distribution optimal transportation for domain adaptation. NIPS 2017: 3730-3739 - [i8]Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy:
Joint Distribution Optimal Transportation for Domain Adaptation. CoRR abs/1705.08848 (2017) - [i7]Nicolas Courty, Rémi Flamary, Mélanie Ducoffe:
Learning Wasserstein Embeddings. CoRR abs/1710.07457 (2017) - [i6]Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin:
Data Dependent Kernel Approximation using Pseudo Random Fourier Features. CoRR abs/1711.09783 (2017) - 2016
- [j14]Sina Nakhostin, Harold Clenet, Thomas Corpetti, Nicolas Courty:
Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(12): 6879-6894 (2016) - [c37]Romain Huet, Nicolas Courty, Sébastien Lefèvre:
A new penalisation term for image retrieval in clique neural networks. ESANN 2016 - [c36]Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti:
Optimal transport for data fusion in remote sensing. IGARSS 2016: 3571-3574 - [c35]Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre:
Unsupervised classifier selection approach for hyperspectral image classification. IGARSS 2016: 5111-5114 - [c34]Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya:
Optimal spectral transportation with application to music transcription. NIPS 2016: 703-711 - [c33]Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard:
Mapping Estimation for Discrete Optimal Transport. NIPS 2016: 4197-4205 - [c32]Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti:
Supervised planetary unmixing with optimal transport. WHISPERS 2016: 1-5 - [i5]Devis Tuia, Rémi Flamary, Nicolas Courty:
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. CoRR abs/1606.07279 (2016) - [i4]Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy:
Wasserstein Discriminant Analysis. CoRR abs/1608.08063 (2016) - [i3]Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya:
Optimal spectral transportation with application to music transcription. CoRR abs/1609.09799 (2016) - 2015
- [c31]Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty:
Multitemporal classification without new labels: A solution with optimal transport. MultiTemp 2015: 1-4 - [i2]Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy:
Optimal Transport for Domain Adaptation. CoRR abs/1507.00504 (2015) - [i1]Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty:
Generalized conditional gradient: analysis of convergence and applications. CoRR abs/1510.06567 (2015) - 2014
- [j13]Pierre Allain, Nicolas Courty, Thomas Corpetti:
Optimal crowd editing. Graph. Model. 76(1): 1-16 (2014) - [j12]Nicolas Courty, Xing Gong, Jimmy Vandel, Thomas Burger:
SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding. Mach. Learn. 97(1-2): 205-226 (2014) - [j11]Antoine Fagette, Nicolas Courty, Daniel Racoceanu, Jean-Yves Dufour:
Unsupervised dense crowd detection by multiscale texture analysis. Pattern Recognit. Lett. 44: 126-133 (2014) - [j10]Nicolas Courty, Pierre Allain, Clement Creusot, Thomas Corpetti:
Using the Agoraset dataset: Assessing for the quality of crowd video analysis methods. Pattern Recognit. Lett. 44: 161-170 (2014) - [j9]Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre:
PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1070-1078 (2014) - [c30]Erchan Aptoula, Nicolas Courty, Sébastien Lefèvre:
An end-member based ordering relation for the morphological description of hyperspectral images. ICIP 2014: 5097-5101 - [c29]Julien Rebetez, Devis Tuia, Nicolas Courty:
Network-Based Correlated Correspondence for Unsupervised Domain Adaptation of Hyperspectral Satellite Images. ICPR 2014: 3921-3926 - [c28]Nicolas Courty, Rémi Flamary, Devis Tuia:
Domain Adaptation with Regularized Optimal Transport. ECML/PKDD (1) 2014: 274-289 - 2013
- [b1]Nicolas Courty:
Contributions aux schémas d'Analyse/Synthèse en Animation par ordinateur. (Contributions to Analysis/Synthesis Schemes in Computer Animation). University of Southern Brittany, Morbihan, France, 2013 - [j8]Thibaut Le Naour, Nicolas Courty, Sylvie Gibet:
Spatiotemporal coupling with the 3D+t motion Laplacian. Comput. Animat. Virtual Worlds 24(3-4): 419-428 (2013) - [c27]Clement Creusot, Nicolas Courty:
Ground Truth for Pedestrian Analysis and Application to Camera Calibration. CVPR Workshops 2013: 712-718 - [c26]Nicolas Courty, Thomas Burger:
A Kernel View on Manifold Sub-sampling Based on Karcher Variance Optimization. GSI 2013: 751-758 - [c25]Erchan Aptoula, Nicolas Courty, Sébastien Lefèvre:
Mitosis detection in breast cancer histological images with mathematical morphology. SIU 2013: 1-4 - 2012
- [c24]Nicolas Courty, Erchan Aptoula, Sébastien Lefèvre:
A classwise supervised ordering approach for morphology based hyperspectral image classification. ICPR 2012: 1997-2000 - [c23]Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre:
Classwise hyperspectral image classification with PerTurbo method. IGARSS 2012: 6883-6886 - [c22]Thibaut Le Naour, Nicolas Courty, Sylvie Gibet:
Fast Motion Retrieval with the Distance Input Space. MIG 2012: 362-365 - [c21]Nicolas Courty, Thomas Burger, Pierre-François Marteau:
Geodesic Analysis on the Gaussian RKHS Hypersphere. ECML/PKDD (1) 2012: 299-313 - 2011
- [j7]Sylvie Gibet, Nicolas Courty, Kyle Duarte, Thibaut Le Naour:
The SignCom system for data-driven animation of interactive virtual signers: Methodology and Evaluation. ACM Trans. Interact. Intell. Syst. 1(1): 6:1-6:23 (2011) - [c20]Nicolas Courty, Thomas Burger, Johann Laurent:
PerTurbo: A New Classification Algorithm Based on the Spectrum Perturbations of the Laplace-Beltrami Operator. ECML/PKDD (1) 2011: 359-374 - 2010
- [j6]Nicolas Courty, Anne Cuzol:
Conditional stochastic simulation for character animation. Comput. Animat. Virtual Worlds 21(3-4): 443-452 (2010) - [c19]Nicolas Courty, Sylvie Gibet:
Why Is the Creation of a Virtual Signer Challenging Computer Animation? MIG 2010: 290-300
2000 – 2009
- 2009
- [j5]Maxime Tournier, Xiaomao Wu, Nicolas Courty, Elise Arnaud, Lionel Revéret:
Motion Compression using Principal Geodesics Analysis. Comput. Graph. Forum 28(2): 355-364 (2009) - [c18]Pierre Allain, Nicolas Courty, Thomas Corpetti:
Crowd Flow Characterization with Optimal Control Theory. ACCV (2) 2009: 279-290 - [c17]Charly Awad, Nicolas Courty, Sylvie Gibet:
A Database Architecture for Real-Time Motion Retrieval. CBMI 2009: 225-230 - [c16]Charly Awad, Nicolas Courty, Kyle Duarte, Thibaut Le Naour, Sylvie Gibet:
A Combined Semantic and Motion Capture Database for Real-Time Sign Language Synthesis. IVA 2009: 432-438 - 2008
- [j4]Nicolas Courty, Pierre Hellier:
Accelerating 3D Non-Rigid Registration Using Graphics Hardware. Int. J. Image Graph. 8(1): 81-98 (2008) - [c15]Nicolas Courty, Elise Arnaud:
Inverse Kinematics Using Sequential Monte Carlo Methods. AMDO 2008: 1-10 - [c14]Nicolas Courty:
Bilateral human motion filtering. EUSIPCO 2008: 1-5 - [c13]Alexis Héloir, Michael Kipp, Sylvie Gibet, Nicolas Courty:
Evaluating Data-Driven Style Transformation for Gesturing Embodied Agents. IVA 2008: 215-222 - 2007
- [j3]Nicolas Courty, Thomas Corpetti:
Crowd motion capture. Comput. Animat. Virtual Worlds 18(4-5): 361-370 (2007) - [c12]Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine:
Exact Principal Geodesic Analysis for data on SO(3). EUSIPCO 2007: 1701-1705 - [c11]Nicolas Courty, Thomas Corpetti:
Data-Driven Animation of Crowds. MIRAGE 2007: 377-388 - 2006
- [j2]Alexis Héloir, Nicolas Courty, Sylvie Gibet, Franck Multon:
Temporal alignment of communicative gesture sequences. Comput. Animat. Virtual Worlds 17(3-4): 347-357 (2006) - [c10]Nasser Rezzoug, Philippe Gorce, Alexis Héloir, Sylvie Gibet, Nicolas Courty, Jean-François Kamp, Franck Multon, Catherine Pelachaud:
Virtual humanoids endowed with expressive communication gestures : the HuGEx project. SMC 2006: 4445-4450 - [e1]Sylvie Gibet, Nicolas Courty, Jean-François Kamp:
Gesture in Human-Computer Interaction and Simulation, 6th International Gesture Workshop, GW 2005, Berder Island, France, May 18-20, 2005, Revised Selected Papers. Lecture Notes in Computer Science 3881, Springer 2006, ISBN 3-540-32624-3 [contents] - 2005
- [c9]Nicolas Courty, Soraia Raupp Musse:
Simulation of large crowds in emergency situations including gaseous phenomena. Computer Graphics International 2005: 206-212 - [c8]Alexis Héloir, Sylvie Gibet, Franck Multon, Nicolas Courty:
Captured Motion Data Processing for Real Time Synthesis of Sign Language. Gesture Workshop 2005: 168-171 - 2003
- [c7]Nicolas Courty, Éric Marchand, Bruno Arnaldi:
A new application for saliency maps: synthetic vision of autonomous actors. ICIP (3) 2003: 1065-1068 - [c6]Nicolas Courty, Éric Marchand:
Visual perception based on salient features. IROS 2003: 1024-1029 - [c5]Nicolas Courty, Gaspard Breton, Danielle Pelé:
Embodied in a Look: Bridging the Gap between Humans and Avatars. IVA 2003: 111-118 - [c4]Nicolas Courty, Fabrice Lamarche, Stéphane Donikian, Éric Marchand:
A Cinematography System for Virtual Storytelling. International Conference on Virtual Storytelling 2003: 30-34 - 2002
- [j1]Éric Marchand, Nicolas Courty:
Controlling a camera in a virtual environment. Vis. Comput. 18(1): 1-19 (2002) - 2001
- [c3]Nicolas Courty, Éric Marchand, Bruno Arnaldi:
Through-the-eyes control of a virtual humanoid. CA 2001: 74-83 - [c2]Nicolas Courty, Éric Marchand:
Computer Animation: a new Application for Image-based Visual Servoing. ICRA 2001: 223-228 - 2000
- [c1]Éric Marchand, Nicolas Courty:
Image-Based Virtual Camera Motion Strategies. Graphics Interface 2000: 69-76
Coauthor Index
[i51] [c64] [c60] [i45] [i40] [i39] [j30] [j29] [j27] [j25] [c56] [c55] [c54] [i37] [i36] [j23] [c53] [c52] [i32] [i31] [i29] [i28] [i27] [j22] [j21] [c51] [c50] [c48] [i23] [i22] [i20] [i19] [i18] [c47] [c46] [c45] [i16] [i15] [i14] [j17] [c44] [c43] [c42] [i13] [i12] [i11] [i10] [i9] [j16] [c38] [i8] [i7] [c36] [c34] [c33] [c32] [i5] [i4] [i3] [c31] [i2] [i1] [c28]
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