Ammar Mian

31 papers A* 1C 3Misc 3Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalized nonnegative structured Kruskal tensor regression.
Signal Process.
Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov, Ammar Mian
2026 J jnl
SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization.
CoRR
Bruno Aristimunha, Ce Ju, Antoine Collas, Florent Bouchard, Ammar Mian, Bertrand Thirion, Sylvain Chevallier, Reinmar J. Kobler
2025 J jnl
Classification of Buried Objects From Ground Penetrating Radar Images by Using Second-Order Deep Learning Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller
2025 — conf
Scoring Frugality for Remote Sensing Data Processing Algorithms.
EUSIPCO
Matthieu Verlynde, Ammar Mian, Yajing Yan
2024 C conf
Buried Object Classification from GPR Data by using Second Order Deep Learning Models.
IGARSS
Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller
2024 J jnl
Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models.
CoRR
Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller
2024 J jnl
Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models.
Signal Process.
Ammar Mian, Guillaume Ginolhac, Florent Bouchard, Arnaud Breloy
2024 A* conf
Random matrix theory improved Fréchet mean of symmetric positive definite matrices.
ICML
Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal
2024 J jnl
Random matrix theory improved Fréchet mean of symmetric positive definite matrices.
CoRR
Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal
2024 Misc conf
Renyi Divergences Learning for explainable classification of SAR Image Pairs.
ICASSP
Matthieu Gallet, Ammar Mian, Abdourrahmane M. Atto
2023 — conf
Learning Graphical Factor Models with Riemannian Optimization.
ECML/PKDD (4)
Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy
2023 J jnl
New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images.
IEEE Trans. Geosci. Remote. Sens.
Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Esa Ollila, Nickolas Stelzenmuller
2022 C conf
Classification of GPR Signals Via Covariance Pooling on CNN Features Within a Riemannian Framework.
IGARSS
Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller
2022 J jnl
Learning Graphical Factor Models with Riemannian Optimization.
CoRR
Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy
2022 — conf
Riemannian Classification of EEG Signals with Missing Values.
EUSIPCO
Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
2021 — conf
On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data.
EUSIPCO
Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac
2021 J jnl
Riemannian classification of EEG signals with missing values.
CoRR
Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
2020 — conf
A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features.
EUSIPCO
Ammar Mian, Elias Raninen, Esa Ollila
2020 — conf
Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications.
MLSP
Esa Ollila, Ammar Mian
2020 J jnl
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications.
CoRR
Esa Ollila, Ammar Mian
2020 J jnl
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection.
CoRR
Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu
2020 J jnl
Riemannian geometry for compound Gaussian distributions: Application to recursive change detection.
Signal Process.
Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu
2020 J jnl
Robust Low-Rank Change Detection for Multivariate SAR Image Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez
2019 J jnl
Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Ammar Mian, Jean Philippe Ovarlez, Abdourrahmane Mahamane Atto, Guillaume Ginolhac
2019 Misc conf
Designing Sar Images Change-point Estimation Strategies Using an Mse Lower Bound.
ICASSP
Ammar Mian, Lucien Bacharach, Guillaume Ginolhac, Alexandre Renaux, Mohammed Nabil El Korso, Jean Philippe Ovarlez
2019 J jnl
Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing.
IEEE Geosci. Remote. Sens. Lett.
Rayen Ben Abdallah, Ammar Mian, Arnaud Breloy, Abigaël Taylor, Mohammed Nabil El Korso, David Lautru
2019 J jnl
New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images.
IEEE Trans. Signal Process.
Ammar Mian, Guillaume Ginolhac, Jean Philippe Ovarlez, Abdourrahmane Mahamane Atto
2019 C conf
Robust Low-Rank Change Detection for Sar Image Time Series.
IGARSS
Ammar Mian, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez
2018 Misc conf
A Robust Change Detector for Highly Heterogeneous Multivariate Images.
ICASSP
Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto
2018 — conf
Robust Detection and Estimation of Change-Points in a Time Series of Multivariate Images.
EUSIPCO
Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto
2017 — conf
Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis.
EUSIPCO
Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto