Y. Berthoumieu

发表

3-D AR model order selection via rank test procedure

Mohamed Najim, Yannick Berthoumieu, Youssef Stitou, 2006, IEEE Transactions on Signal Processing.

A greedy algorithm to extract sparsity degree for ℓ1/ℓ0-equivalence in a deterministic context

C. Dossal, N. Pustelnik, F. Turcu, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Warped Riemannian Metrics for Location-Scale Models

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2018, Geometric Structures of Information.

Minimum Eigenvalue Based 3-D AR Model Order Selection

Y. Berthoumieu, M. Najim, B. Aksasse, 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

New DCT Designs For Image Processing Circuits

Patrice Kadionik, Patrice Nouel, Yannick Berthoumieu, 1998 .

Stochasticity: A Feature for Analyzing and Understanding Textures, with Applications to Classification and Content-Based Image Retrieval

Y. Berthoumieu, A. Atto, R. Mégret, 2010 .

2-Dimensional Wavelet Packet Spectrum for Texture Analysis

Y. Berthoumieu, A. Atto, P. Bolon, 2012 .

Gaussian Copula Multivariate Modeling for Image Texture Retrieval Using Wavelet Transforms

Y. Berthoumieu, Noureddine Lasmar, Yannick Berthoumieu Gaussian, 2022 .

Wavelet Transforms of Nonstationary Random Processes: Contributing Factors for Stationarity and Decorrelation

Y. Berthoumieu, A. Atto, 2010 .

Warped metrics for location-scale models 07 / 11 / 2017

J. Angulo, Y. Berthoumieu, S. Said, 2019 .

Seismic Fault Preserving Diffusion

Y. Berthoumieu, M. Donias, N. Keskes, 2007, 0708.1276.

Generic multivariate model for color texture classification in RGB color space

Driss Aboutajdine, Yannick Berthoumieu, Mohammed El Hassouni, 2015, International Journal of Multimedia Information Retrieval.

Centroid-based texture classification using the generalized Gamma distribution

Mohamed Najim, Yannick Berthoumieu, Aurelien J. Schutz, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Multivariate Generalized Gamma Distribution for Content Based Image Retrieval

Yannick Berthoumieu, Mohammed El Hassouni, Driss Aboutajdine, 2012 .

Multivariate texture retrieval using the Kullback-Leibler divergence between bivariate generalized Gamma times an Uniform distribution

Yannick Berthoumieu, Lionel Bombrun, Y. Berthoumieu, 2012, 2012 19th IEEE International Conference on Image Processing.

Texture classification based on the Generalized Gamma distribution and the Dual Tree Complex Wavelet Transform

Yannick Berthoumieu, Mohammed El Hassouni, Ahmed Drissi El Maliani, 2010, 2010 5th International Symposium On I/V Communications and Mobile Network.

Bayesian Texture Classification From Indirect Observations Using Fast Sampling

Jean-François Giovannelli, Yannick Berthoumieu, Cornelia Paula Vacar, 2016, IEEE Transactions on Signal Processing.

Online estimation of MGGD: the Riemannian Averaged Natural Gradient method

Yannick Berthoumieu, Salem Said, Jialun Zhou, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Parameter Estimation For Multivariate Generalized Gaussian Distributions

Jean-Yves Tourneret, Yannick Berthoumieu, Lionel Bombrun, 2013, IEEE Transactions on Signal Processing.

Performance of the maximum likelihood estimators for the parameters of multivariate generalized Gaussian distributions

Jean-Yves Tourneret, Yannick Berthoumieu, Lionel Bombrun, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spectral-Spatial Rotation Forest for Hyperspectral Image Classification

Peijun Du, Christian Germain, Yannick Berthoumieu, 2017, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Spectral–Spatial Rotation Forest for Hyperspectral Image Classification

Peijun Du, Christian Germain, Yannick Berthoumieu, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Multidate Divergence Matrices for the Analysis of SAR Image Time Series

Emmanuel Trouvé, Abdourrahmane M. Atto, Yannick Berthoumieu, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Multi-Scale Histograms For Kernel-Based Object Tracking

Marc Donias, Yannick Berthoumieu, Mounia Mikram, 2006 .

Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching

Yannick Berthoumieu, Rémi Giraud, Y. Berthoumieu, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Multiple Feature Fusion Based on Co-Training Approach and Time Regularization for Place Classification in Wearable Video

Yannick Berthoumieu, Rémi Mégret, Vladislavs Dovgalecs, 2013, Adv. Multim..

Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces

Christian Jutten, Marco Congedo, Yannick Berthoumieu, 2018, IEEE Transactions on Biomedical Engineering.

Three-Dimensional Textured Image Blocks Model Based on Wold Decomposition

Mohamed Najim, Yannick Berthoumieu, Youssef Stitou, 2007, IEEE Transactions on Signal Processing.

Recursive Texture Orientation Estimation Based on Space Transformation and Hypersurface Reconstruction

Marc Donias, Salma Doghraji, Yannick Berthoumieu, 2018, IEEE Transactions on Image Processing.

Recursive orientation estimation based on hypersurface reconstruction

Marc Donias, Salma Doghraji, Yannick Berthoumieu, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Texture Reconstruction Guided by a High-Resolution Patch

Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, 2017, IEEE Transactions on Image Processing.

Image Zoom Completion

Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, 2016, IEEE Transactions on Image Processing.

Super-resolution from a low- and partial high-resolution image pair

Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices

Jonathan H. Manton, Yannick Berthoumieu, Salem Said, 2015, IEEE Transactions on Information Theory.

Multivariate texture retrieval using the SIRV representation and the geodesic distance

Yannick Berthoumieu, Lionel Bombrun, Geert Verdoolaege, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Structure tensor field regularization based on geometric features

Marc Donias, Yannick Berthoumieu, Vincent Toujas, 2010, 2010 18th European Signal Processing Conference.

Fisher Vector Coding for Covariance Matrix Descriptors Based on the Log-Euclidean and Affine Invariant Riemannian Metrics

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2018, J. Imaging.

An Evaluation of the Sparsity Degree for Sparse Recovery with Deterministic Measurement Matrices

Nelly Pustelnik, Yannick Berthoumieu, Flavius Turcu, 2014, Journal of Mathematical Imaging and Vision.

Robust and adaptive approaches for Relative Geologic Time Estimation

Sebastien Guillon, Marc Donias, Yannick Berthoumieu, 2018, Journal of Applied Geophysics.

Seismic horizon and pseudo-geological time cube extraction based on a riemmanian geodesic search

Sebastien Guillon, Marc Donias, Yannick Berthoumieu, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

ECG Beat Detection Using a Geometrical Matching Approach

Mohamed Najim, Pedro Gomis, Yannick Berthoumieu, 2007, IEEE Transactions on Biomedical Engineering.

K-Centroids-Based Supervised Classification of Texture Images Using the SIRV Modeling

Yannick Berthoumieu, Aurelien J. Schutz, Lionel Bombrun, 2013, GSI.

Estimating local multiple orientations

Pierre Baylou, Jean-Pierre Da Costa, Christian Germain, 2007, Signal Process..

Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators

Christian Germain, Jean-François Aujol, Yannick Berthoumieu, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Multiscale skewed heavy tailed model for texture analysis

Yannick Berthoumieu, Youssef Stitou, Noureddine Lasmar, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

New Riemannian Priors on the Univariate Normal Model

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2014, Entropy.

Multivariate texture retrieval using the geodesic distance between elliptically distributed random variables

Yannick Berthoumieu, Lionel Bombrun, Geert Verdoolaege, 2011, 2011 18th IEEE International Conference on Image Processing.

Copulas based multivariate gamma modeling for texture classification

Yannick Berthoumieu, Youssef Stitou, Noureddine Lasmar, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Stochasticity: A Feature for the Structuring of Large and Heterogeneous Image Databases

Abdourrahmane M. Atto, Yannick Berthoumieu, Rémi Mégret, 2013, Entropy.

Structuring of large and heterogeneous texture databases

Abdourrahmane M. Atto, Yannick Berthoumieu, Y. Berthoumieu, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Multi-Date Divergence Matrices for the Analysis of SAR Image Time Series

Emmanuel Trouvé, Yannick Berthoumieu, Abdourrahmane Atto, 2012 .

A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation

Tülay Adali, Yannick Berthoumieu, Salem Said, 2015, IEEE Signal Processing Letters.

Wavelet Packets of Nonstationary Random Processes: Contributing Factors for Stationarity and Decorrelation

Abdourrahmane M. Atto, Yannick Berthoumieu, Y. Berthoumieu, 2012, IEEE Transactions on Information Theory.

Unsupervised hyperspectral band selection via multi-feature information-maximization clustering

Yannick Berthoumieu, Marco Bevilacqua, Y. Berthoumieu, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Gaussian Copula Multivariate Modeling for Texture Image Retrieval Using Wavelet Transforms

Yannick Berthoumieu, Noureddine Lasmar, Y. Berthoumieu, 2014, IEEE Transactions on Image Processing.

Evaluating Descriptors Performances for Object Tracking on Natural Video Data

Yannick Berthoumieu, Mounia Mikram, Rémi Mégret, 2007, ACIVS.

Deep Ensemble Learning Model Based on Covariance Pooling of Multi-Layer CNN Features

Y. Berthoumieu, J. Xia, C. Germain, 2022, International Conference on Information Photonics.

Texture synthesis guided by a low-resolution image

Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

From Intrinsic Optimization to Iterated Extended Kalman Filtering on Lie Groups

Y. Berthoumieu, A. Giremus, R. Mégret, 2016, Journal of Mathematical Imaging and Vision.

Global Motion Estimation from Relative Measurements in the Presence of Outliers

Audrey Giremus, Yannick Berthoumieu, Rémi Mégret, 2014, ACCV.

Global motion estimation from relative measurements using iterated extended Kalman filter on matrix LIE groups

Audrey Giremus, Yannick Berthoumieu, Rémi Mégret, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Discrete Extended Kalman Filter on Lie groups

Audrey Giremus, Yannick Berthoumieu, Rémi Mégret, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Texture image classification with Riemannian fisher vectors

Christian Germain, Romulus Terebes, Monica Borda, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Riemannian geometry for Compound Gaussian distributions: application to recursive change detection

Yannick Berthoumieu, Salem Said, Guillaume Ginolhac, 2020, Signal Process..

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

Christian Germain, Yannick Berthoumieu, Junshi Xia, 2020, Remote. Sens..

An ensemble learning approach for the classification of remote sensing scenes based on covariance pooling of CNN features

Christian Germain, Yannick Berthoumieu, Sara Akodad, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Gaussian Copula Multivariate Modeling for Image Texture Retrieval Using Wavelet Transforms

Y. Berthoumieu, Noureddine Lasmar, 2015 .

Texture-Aware Superpixel Segmentation

Nicolas Papadakis, Ta Vinh Thong, Yannick Berthoumieu, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Image classification based on log-Euclidean Fisher Vectors for covariance matrix descriptors

Charles Yaacoub, Christian Germain, Yannick Berthoumieu, 2018, 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Texture image classification with Riemannian fisher vectors issued from a Laplacian model

Christian Germain, Yannick Berthoumieu, Lionel Bombrun, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

Region level segmentation based on a derivative approach for video tracking process

Yannick Berthoumieu, David Izquierdo, Y. Berthoumieu, 2002, Proceedings. International Conference on Image Processing.

High and low level object descriptions for video tracking process

Yannick Berthoumieu, David Izquierdo, Y. Berthoumieu, 2002, 2002 11th European Signal Processing Conference.

Texture Classification Using Rao's Distance on the Space of Covariance Matrices

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2015, GSI.

An M-Estimator for Robust Centroid Estimation on the Manifold of Covariance Matrices

Christian Germain, Romulus Terebes, Monica Borda, 2016, IEEE Signal Processing Letters.

Enhanced Cohen class time-frequency methods based on a structure tensor analysis: Applications to ISAR processing

Eric Grivel, Vincent Corretja, Yannick Berthoumieu, 2013, Signal Process..

PCA Reduced Gaussian Mixture Models with Applications in Superresolution

G. Steidl, Y. Berthoumieu, J. Hertrich, 2020, Inverse Problems & Imaging.

Patch-based image Super Resolution using generalized Gaussian mixture model

Y. Berthoumieu, Jean-François Aujol, D. Nguyen, 2022, ArXiv.

Semi-supervised learning for location recognition from wearable video

Yannick Berthoumieu, Hazem Wannous, Rémi Mégret, 2010, 2010 International Workshop on Content Based Multimedia Indexing (CBMI).

Parameters estimate of Riemannian Gaussian distribution in the manifold of covariance matrices

Christian Jutten, Marco Congedo, Yannick Berthoumieu, 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

Color texture classification method based on a statistical multi-model and geodesic distance

Driss Aboutajdine, Yannick Berthoumieu, Mohammed El Hassouni, 2014, J. Vis. Commun. Image Represent..

Multi-model Approach for Multicomponent Texture Classification

Driss Aboutajdine, Yannick Berthoumieu, Mohammed El Hassouni, 2012, ICISP.

Color Texture Classification Using Rao Distance between Multivariate Copula Based Models

Driss Aboutajdine, Yannick Berthoumieu, Mohammed El Hassouni, 2011, CAIP.

Maximum Likelihood Estimators on Manifolds

Yannick Berthoumieu, Salem Said, Hatem Hajri, 2017, GSI.

Rotation-Invariant texture retrieval using a steerable Gaussian copula model

Yannick Berthoumieu, Mohammed El Hassouni, Ahmed Drissi El Maliani, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Parametric Gaussianization procedure of wavelet coefficients for texture retrieval

Mohamed Najim, Yannick Berthoumieu, Youssef Stitou, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance

J. Giovannelli, Y. Berthoumieu, C. Vacar, 2011, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Optical flow estimation using forward-backward constraint equation

Yannick Berthoumieu, A. Randriantsoa, Y. Berthoumieu, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Spectral–Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter via an Ensemble Strategy

Tülay Adali, Christian Germain, Yannick Berthoumieu, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Calibration of an inertial-magnetic measurement unit without external equipment, in the presence of dynamic magnetic disturbances

Audrey Giremus, Yannick Berthoumieu, Rémi Mégret, 2014 .