Yannick Berthoumieu

Orcid: 0000-0002-7559-0602

According to our database1, Yannick Berthoumieu authored at least 128 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A general robust approach for joint modeling of the family of scale mixture of Normal distribution.
Signal Process., 2024

Riemannian Generalized Gaussian Distributions on the Space of SPD Matrices for Image Classification.
IEEE Access, 2024

Texture Classification Using RGGD Statistical Model of CNN Feature Maps Encoding.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
SPDGAN: a generative adversarial network based on SPD manifold learning for automatic image colorization.
Neural Comput. Appl., November, 2023

Generalization of the shortest path approach for superpixel segmentation of omnidirectional images.
Pattern Recognit., October, 2023

Weakly Supervised Disentanglement with Triplet Network.
Proceedings of the IEEE International Conference on Image Processing, 2023

A Gaussian mixture model with multiple tangent planes.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators.
IEEE Trans. Geosci. Remote. Sens., 2022

Riemannian information gradient methods for the parameter estimation of ECD.
Signal Process., 2022

Patch-based image Super Resolution using generalized Gaussian mixture model.
CoRR, 2022

Remote Sensing Scene Classification Based on Covariance Pooling of Multi-layer CNN Features Guided by Saliency Maps.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Deep Ensemble Learning Model Based on Covariance Pooling of Multi-Layer CNN Features.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Automatic selection of latent variables in variational auto-encoders.
Proceedings of the 30th European Signal Processing Conference, 2022

2020
Riemannian geometry for compound Gaussian distributions: Application to recursive change detection.
Signal Process., 2020

Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification.
Remote. Sens., 2020

PCA Reduced Gaussian Mixture Models with Applications in Superresolution.
CoRR, 2020

Dual Color-Image Discriminators Adversarial Networks for Generating Artificial-SAR Colorized Images from SENTINEL-1 Images.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), 2020

Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints.
Proceedings of the IEEE International Conference on Image Processing, 2020

Cluster Kernel For Learning Similarities Between Symmetric Positive Definite Matrix Time Series.
Proceedings of the IEEE International Conference on Image Processing, 2020

Automatic Image Colorization based on Multi-Discriminators Generative Adversarial Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Multiple-Feature Kernel-Based Probabilistic Clustering for Unsupervised Band Selection.
IEEE Trans. Geosci. Remote. Sens., 2019

Texture-Aware Superpixel Segmentation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching.
Proceedings of the 27th European Signal Processing Conference, 2019

An ensemble learning approach for the classification of remote sensing scenes based on covariance pooling of CNN features.
Proceedings of the 27th European Signal Processing Conference, 2019

Online estimation of MGGD: the Riemannian Averaged Natural Gradient method.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Recursive Texture Orientation Estimation Based on Space Transformation and Hypersurface Reconstruction.
IEEE Trans. Image Process., 2018

Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng., 2018

Fisher Vector Coding for Covariance Matrix Descriptors Based on the Log-Euclidean and Affine Invariant Riemannian Metrics.
J. Imaging, 2018

Regularised Projection of an Image Domain Triangulation for Disparity Map Refinement.
Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018

Image classification based on log-Euclidean Fisher Vectors for covariance matrix descriptors.
Proceedings of the Eighth International Conference on Image Processing Theory, 2018

Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices.
IEEE Trans. Inf. Theory, 2017

Texture Reconstruction Guided by a High-Resolution Patch.
IEEE Trans. Image Process., 2017

Spectral-Spatial Rotation Forest for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Unsupervised hyperspectral band selection via multi-feature information-maximization clustering.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Classification approach based on the product of riemannian manifolds from Gaussian parametrization space.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A geometric learning approach on the space of complex covariance matrices.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Riemannian Online Algorithms for Estimating Mixture Model Parameters.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Warped Metrics for Location-Scale Models.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Co-occurrence Matrix of Covariance Matrices: A Novel Coding Model for the Classification of Texture Images.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Maximum Likelihood Estimators on Manifolds.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Stochastic EM algorithm for mixture estimation on manifolds.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Bayesian Texture Classification From Indirect Observations Using Fast Sampling.
IEEE Trans. Signal Process., 2016

Image Zoom Completion.
IEEE Trans. Image Process., 2016

Spectral-Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter via an Ensemble Strategy.
IEEE Trans. Geosci. Remote. Sens., 2016

From Intrinsic Optimization to Iterated Extended Kalman Filtering on Lie Groups.
J. Math. Imaging Vis., 2016

Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices.
Entropy, 2016

Seismic horizon and pseudo-geological time cube extraction based on a riemmanian geodesic search.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Texture image classification with Riemannian fisher vectors issued from a Laplacian model.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Texture synthesis guided by a low-resolution image.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Parameters estimate of Riemannian Gaussian distribution in the manifold of covariance matrices.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Multiple features learning via rotation strategy.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Texture image classification with Riemannian fisher vectors.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Classification of hyperspectral data with ensemble of subspace ICA and edge-preserving filtering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation.
IEEE Signal Process. Lett., 2015

Generic multivariate model for color texture classification in RGB color space.
Int. J. Multim. Inf. Retr., 2015

Texture classification using Rao's distance: An EM algorithm on the poincaré half plane.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Recursive orientation estimation based on hypersurface reconstruction.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Texture Classification Using Rao's Distance on the Space of Covariance Matrices.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014
Gaussian Copula Multivariate Modeling for Texture Image Retrieval Using Wavelet Transforms.
IEEE Trans. Image Process., 2014

Bayesian Texture and Instrument Parameter Estimation From Blurred and Noisy Images Using MCMC.
IEEE Signal Process. Lett., 2014

Color texture classification method based on a statistical multi-model and geodesic distance.
J. Vis. Commun. Image Represent., 2014

An Evaluation of the Sparsity Degree for Sparse Recovery with Deterministic Measurement Matrices.
J. Math. Imaging Vis., 2014

New Riemannian Priors on the Univariate Normal Model.
Entropy, 2014

Lipschitz Bounds for Noise Robustness in Compressive Sensing: Two Algorithms.
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

Rotation-Invariant texture retrieval using a steerable Gaussian copula model.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Super-resolution from a low- and partial high-resolution image pair.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Global motion estimation from relative measurements using iterated extended Kalman filter on matrix LIE groups.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Intrinsic prior for Bayesian classification of texture images.
Proceedings of the IEEE International Conference on Acoustics, 2014

Global Motion Estimation from Relative Measurements in the Presence of Outliers.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Parameter Estimation For Multivariate Generalized Gaussian Distributions.
IEEE Trans. Signal Process., 2013

2-D Wavelet Packet Spectrum for Texture Analysis.
IEEE Trans. Image Process., 2013

Multidate Divergence Matrices for the Analysis of SAR Image Time Series.
IEEE Trans. Geosci. Remote. Sens., 2013

Enhanced Cohen class time-frequency methods based on a structure tensor analysis: Applications to ISAR processing.
Signal Process., 2013

Stochasticity: A Feature for the Structuring of Large and Heterogeneous Image Databases.
Entropy, 2013

Multiple Feature Fusion Based on Co-Training Approach and Time Regularization for Place Classification in Wearable Video.
Adv. Multim., 2013

Centroid-based texture classification using the SIRV representation.
Proceedings of the IEEE International Conference on Image Processing, 2013

K-centroids-based supervised classification of texture images: Handling the intra-class diversity.
Proceedings of the IEEE International Conference on Acoustics, 2013

K-Centroids-Based Supervised Classification of Texture Images Using the SIRV Modeling.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Centroid-based texture classification using the generalized Gamma distribution.
Proceedings of the 21st European Signal Processing Conference, 2013

Discrete Extended Kalman Filter on Lie groups.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Wavelet Packets of Nonstationary Random Processes: Contributing Factors for Stationarity and Decorrelation.
IEEE Trans. Inf. Theory, 2012

k-MLE for mixtures of generalized Gaussians.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multi-model Approach for Multicomponent Texture Classification.
Proceedings of the Image and Signal Processing - 5th International Conference, 2012

Multivariate texture retrieval using the Kullback-Leibler divergence between bivariate generalized Gamma times an Uniform distribution.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Performance of the maximum likelihood estimators for the parameters of multivariate generalized Gaussian distributions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A greedy algorithm to extract sparsity degree for ℓ1/ℓ0-equivalence in a deterministic context.
Proceedings of the 20th European Signal Processing Conference, 2012

Kullback-Leibler distance between complex generalized Gaussian distributions.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Automatic estimation of asymmetry for gradient-based alignment of noisy images on Lie group.
Pattern Recognit. Lett., 2011

Time-aware co-training for indoors localization in visual lifelogs.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Multivariate texture retrieval using the geodesic distance between elliptically distributed random variables.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multivariate texture retrieval using the SIRV representation and the geodesic distance.
Proceedings of the IEEE International Conference on Acoustics, 2011

How to perform texture recognition from stochastic modeling in the wavelet domain.
Proceedings of the IEEE International Conference on Acoustics, 2011

Color Texture Classification Using Rao Distance between Multivariate Copula Based Models.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
Bidirectional Composition on Lie Groups for Gradient-Based Image Alignment.
IEEE Trans. Image Process., 2010

Multivariate statistical modeling for texture analysis using wavelet transforms.
Proceedings of the IEEE International Conference on Acoustics, 2010

Structure tensor field regularization based on geometric features.
Proceedings of the 18th European Signal Processing Conference, 2010

Semi-supervised learning for location recognition from wearable video.
Proceedings of the 2010 International Workshop on Content-Based Multimedia Indexing, 2010

2009
Dynamic picking system for 3D seismic data: Design and evaluation.
Int. J. Hum. Comput. Stud., 2009

Multiscale skewed heavy tailed model for texture analysis.
Proceedings of the International Conference on Image Processing, 2009

Copulas based multivariate gamma modeling for texture classification.
Proceedings of the IEEE International Conference on Acoustics, 2009

Joint linear-circular stochastic models for texture classification.
Proceedings of the IEEE International Conference on Acoustics, 2009

Asymmetric gradient-based image alignment.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
A robust framework for GeoTime cube.
Proceedings of the International Conference on Image Processing, 2008

Parametric Gaussianization procedure of wavelet coefficients for texture retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2008

The Bi-directional Framework for Unifying Parametric Image Alignment Approaches.
Proceedings of the Computer Vision, 2008

2007
Three-Dimensional Textured Image Blocks Model Based on Wold Decomposition.
IEEE Trans. Signal Process., 2007

ECG Beat Detection Using a Geometrical Matching Approach.
IEEE Trans. Biomed. Eng., 2007

Estimating local multiple orientations.
Signal Process., 2007

Evaluating Descriptors Performances for Object Tracking on Natural Video Data.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007

2006
3-D AR model order selection via rank test procedure.
IEEE Trans. Signal Process., 2006

[ADC Characterization in Time Domain] Frequency Estimation to Linearize Time-Domain Analysis of A/D Converters.
IEEE Trans. Instrum. Meas., 2006

Consistent estimation of autoregressive parameters from noisy observations based on two interacting Kalman filters.
Signal Process., 2006

Inverse Composition for Multi-kernel Tracking.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

2005
A 2-D robust high-resolution frequency estimation approach.
Signal Process., 2005

Coupe projective pour une tâche trajectorielle dynamique.
Proceedings of the 17th international conference on Francophone sur l'Interaction Homme-Machine, 2005

2002
Region level segmentation based on a derivative approach for video tracking process.
Proceedings of the 2002 International Conference on Image Processing, 2002

Robust high resolution image spectral analysis.
Proceedings of the 2002 International Conference on Image Processing, 2002

A stochastic sinusoidal model with application to speech and EEG-sleep spindle signals.
Proceedings of the 11th European Signal Processing Conference, 2002

High and low level object descriptions for video tracking process.
Proceedings of the 11th European Signal Processing Conference, 2002

High resolution 3D spectral method estimation.
Proceedings of the 11th European Signal Processing Conference, 2002

2000
Optical Flow Estimation Using Forward-Backward Constraint Equation.
Proceedings of the 2000 International Conference on Image Processing, 2000

1997
A joint detection-estimation scheme for the analysis of noisy complex sinusoids.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Subband Decomposition Based on the Hilbert Transform applied to radar imaging.
Proceedings of the 8th European Signal Processing Conference, 1996

1994
An efficient subspace algorithm for 2-D harmonic retrieval.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994


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