Nicolas Courty

Latest

• Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
• Sliced-Wasserstein Gradient Flows
• Template based Graph Neural Network with Optimal Transport Distances
• Semi-relaxed Gromov-Wasserstein divergence for graphs classification
• Learning to Generate Wasserstein Barycenters
• Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows
• Factored couplings in multi-marginal optimal transport via difference of convex programming
• Subspace Detours Meet Gromov-Wasserstein
• Subspace Detours Meet Gromov-Wasserstein
• Wasserstein Adversarial Regularization for learning with label noise
• POT: Python Optimal Transport
• CO-Optimal Transport
• Contextual Semantic Interpretability
• Match and Reweight Strategy for Generalized Target Shift
• Fused Gromov-Wasserstein Distance for Structured Objects
• Learning with minibatch Wasserstein : asymptotic and gradient properties
• A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification
• Generating natural adversarial Remote Sensing Images
• An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images
• Time Series Alignment with Global Invariances
• Sliced Gromov-Wasserstein
• Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
• Kinematics in the metric space
• Unsupervised Domain Adaptation with Optimal Transport in multi-site segmentation of Multiple Sclerosis lesions from MRI data
• An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images
• Data Dependent Kernel Approximation using Pseudo Random Fourier Features
• End-to-end Learning for Early Classification of Time Series
• Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
• Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise
• Optimal Transport for structured data with application on graphs
• Optimal Transport for Multi-source Domain Adaptation under Target Shift
• Wasserstein Discriminant Analysis
• Dissimilarity Measure Machines
• DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
• Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport
• Kinematic driven by distances
• Real-time mesh animation from low dimensional positional constraints
• Large-Scale Optimal Transport and Mapping Estimation
• Learning Wasserstein Embeddings
• Joint distribution optimal transportation for domain adaptation
• Optimal Transport for Domain Adaptation
• HYPERSPECTRAL AND MULTISPECTRAL WASSERSTEIN BARYCENTER FOR IMAGE FUSION
• Randomized Nonlinear Component Analysis for Dimensionality Reduction of Hyperspectral Images
• Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification
• Optimal Transport for Domain Adaptation
• Optimal Transport for Domain Adaptation
• Mapping Estimation for Discrete Optimal Transport
• Optimal spectral transportation with application to music transcription
• Hyperspectral and multispectral image fusion based on optimal transport
• Extraction of urban vegetation with Pleiades multiangular images
• Supervised Planetary Unmixing with Optimal Transport
• Optimal Transport for Data Fusion in Remote Sensing
• Optimal Transport for Domain Adaptation
• A new penalisation term for image retrieval in clique neural networks
• Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images
• Optimal Transport for Domain Adaptation
• Unsupervised Classifier Selection Approach for Hyperspectral Image Classification
• Generalized conditional gradient: analysis of convergence and applications
• Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions
• Optimal transport for Domain adaptation
• Optimal transport with Laplacian regularization
• An end-member based ordering relation for the morphological description of hyperspectral images
• SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding
• A group-lasso active set strategy for multiclass hyperspectral image classification
• Domain adaptation with regularized optimal transport
• SAGA: Sparse And Geometry-Aware non-negative matrix factorization through non-linear local embedding
• Network-based correlated correspondence for unsupervised domain adaptation of hyperspectral satellite images
• Optimal crowd editing
• PerTurbo manifold learning algorithm for weakly labelled hyperspectral image classification
• Using the AGORASET dataset : assessing for the quality of crowd video analysis methods
• Utilisation des relations spatiales pour la reconstruction de trajectoires de marqueurs issues de la capture de mouvement
• Particle swarm control
• Unsupervised dense crowd detection by multiscale texture analysis
• Ground Truth for Pedestrian Analysis and Application to Camera Calibration
• Contributions to Analysis/Synthesis Schemes in Computer Animation
• Monitoring urban transformation in the old foreign concessions of Shanghai from 1987 to 2012
• A kernel view on manifold sub-sampling based on Karcher variance optimization
• Spatio-temporal coupling with the 3D+t motion Laplacian
• AGORASET: a dataset for crowd video analysis
• Fast Motion retrieval with the distance input space
• A classwise supervised ordering approach for morphology based hyperspectral image classification
• Cinématique guidée par les distances
• CLASSWISE HYPERSPECTRAL IMAGE CLASSIFICATION WITH PERTURBO METHOD
• Geodesic Analysis on the Gaussian RKHS hypersphere
• Continuous Control of Lagrangian Data
• Perturbations of the Laplace-Beltrami Operator
• PerTurbo: a new classification algorithm based on the spectrum perturbations of the Laplace-Beltrami operator
• The SignCom System for Data-Driven Animation of Interactive Virtual Signers : Methodology and Evaluation
• Why is the Creation of a Virtual Signer Challenging Computer Animation ?
• Conditional stochastic simulation for character animation
• Conditional Stochastic Simulation for Character Animation
• A Combined Semantic and Motion Capture Database for Real-Time Sign Language Synthesis
• Crowd Flow Characterization with Optimal Control Theory
• A Database Architecture For Real-Time Motion Retrieval
• Motion Compression using Principal Geodesics Analysis
• Evaluating data-driven style transformation for gesturing embodied agents
• Bilateral Human Motion Filtering
• Inverse kinematics using sequential Monte Carlo methods
• Motion Compression using Principal Geodesics Analysis
• Accelerating 3D Non-Rigid Registration using Graphics Hardware
• Motion Compression using Principal Geodesics Analysis
• Sequential Monte Carlo Inverse Kinematics
• Data-Driven Animation of Crowds
• Crowd Motion Capture
• Agent virtuel signeur - Aide à la communication pour personnes sourdes
• Gesture in Human-Computer Interaction and Simulation
• Temporal alignment of communicative gesture sequences
• Virtual Agent for Deaf Signing Gestures
• Simulation of Large Crowds Including Gaseous Phenomena
• Captured Motion Data Processing for Real Time Synthesis of Sign Language
• A cinematography system for virtual storytelling
• A new application for salliency maps: Synthetic vision of autonomous actors.
• Visual perception based on salient features
• Controlling a camera in a virtual environment.
• Computer animation: a new application for image-based visual servoing
• Navigation et controle d'une caméra dans un environnement virtuel: une approche rérencée image.
• Through-the-eyes control of a virtual humano?
• Image-based virtual camera motion strategies
• Visual Servoing in Computer Animation What You Want to See is Really What You Get !