activity
20072025
most citedParameter Estimation For Multivariate Generalized Gaussian Distributions

143 citations · 203 across the 13 of their papers we have counts for

collaborators

15 papers

cs.CV2025

Generalized Shortest Path-based Superpixels for 3D Spherical Image Segmentation

Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu

The growing use of wide angle image capture devices and the need for fast and accurate image analysis in computer visions have enforced the need for dedicated under-representation…

cs.CV2025

Handling Multiple Hypotheses in Coarse-to-Fine Dense Image Matching

Matthieu Vilain, Rémi Giraud, Yannick Berthoumieu +1

Dense image matching aims to find a correspondent for every pixel of a source image in a partially overlapping target image. State-of-the-art methods typically rely on a coarse-to-…

cs.CV2023★ 3 cited

SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization

Youssef Mourchid, Marc Donias, Yannick Berthoumieu +1

This paper addresses the automatic colorization problem, which converts a gray-scale image to a colorized one. Recent deep-learning approaches can colorize automatically grayscale…

eess.IV2022

Patch-based image Super Resolution using generalized Gaussian mixture model

Dang-Phuong-Lan Nguyen, Jean-François Aujol, Yannick Berthoumieu

Single Image Super Resolution (SISR) methods aim to recover the clean images in high resolution from low resolution observations.A family of patch-based approaches have received co…

eess.SP2020

Riemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing

Jialun Zhou, Salem Said, Yannick Berthoumieu

Elliptically-contoured distributions (ECD) play a significant role, in computer vision, image processing, radar, and biomedical signal processing. Maximum likelihood. estimation (M…

stat.ML2020★ 2 cited

PCA Reduced Gaussian Mixture Models with Applications in Superresolution

Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-Fancois Aujol +4

Despite the rapid development of computational hardware, the treatment of large and high dimensional data sets is still a challenging problem. This paper provides a twofold contrib…