Ammar MIAN

Ammar MIAN

Ammar MIAN

Chercheur en délégation ou CRCT

Personnel CNRS Permanent

Site Ampère

Bureau : B304

GAIA

Biographie

(à compléter)

Publications / Travaux


39 documents

Articles dans une revue12 documents

  • Matthieu Gallet, Ammar Mian, Florent Bouchard, Guillaume Ginolhac. On batch normalization for SPDnet. Signal Processing, 2027, 250, pp.110793. ⟨10.1016/j.sigpro.2026.110793⟩. ⟨hal-05742151⟩
  • Olivier Lerda, Guillaume Ginolhac, Ammar Mian, Jean-Philippe Ovarlez, Guillaume Matte, et al.. Robust Multiping Forward-Looking Sonar Coherent Detection. IEEE Journal of Oceanic Engineering, 2026, 51 (3), pp.2258-2273. ⟨10.1109/JOE.2026.3693862⟩. ⟨hal-05626565v2⟩
  • Xinjue Wang, Esa Ollila, Sergiy Vorobyov, Ammar Mian. Generalized Nonnegative Structured Kruskal Tensor Regression. Signal Processing, 2026, 240, pp.110338. ⟨10.1016/j.sigpro.2025.110338⟩. ⟨hal-05321266⟩
  • Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller. Classification of Buried Objects From Ground Penetrating Radar Images by Using Second-Order Deep Learning Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, pp.3185-3197. ⟨10.1109/JSTARS.2024.3524424⟩. ⟨hal-04902720⟩
  • Ammar Mian, Guillaume Ginolhac, Florent Bouchard, Arnaud Breloy. Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models. Signal Processing, 2024, 224, pp.109589. ⟨10.1016/j.sigpro.2024.109589⟩. ⟨hal-04694905⟩
  • Olivier Lerda, Ammar Mian, Guillaume Ginolhac, Jean-Philippe Ovarlez, Didier Charlot. Robust Detection for Mills Cross Sonar. IEEE Journal of Oceanic Engineering, 2024, 49 (3), ⟨10.1109/JOE.2024.3374958⟩. ⟨hal-04651458⟩
  • Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Esa Ollila, Nickolas Stelzenmuller. New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images. IEEE Transactions on Geoscience and Remote Sensing, In press, ⟨10.1109/TGRS.2023.3268477⟩. ⟨hal-04075772⟩
  • Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, et al.. Riemannian geometry for compound Gaussian distributions: Application to recursive change detection. Signal Processing, 2020, 176, pp.107716. ⟨10.1016/j.sigpro.2020.107716⟩. ⟨hal-02972691⟩
  • Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean-Philippe Ovarlez. Robust Low-rank Change Detection for SAR Image Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.3545-3556. ⟨10.1109/JSTARS.2020.2999615⟩. ⟨hal-02345330v2⟩
  • Rayen Ben Abdallah, Ammar Mian, Arnaud Breloy, Abigaël Taylor, Mohammed Nabil El Korso, et al.. Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing. IEEE Geoscience and Remote Sensing Letters, 2019, 16 (7), pp.1160-1164. ⟨10.1109/LGRS.2018.2890155⟩. ⟨hal-02305115⟩
  • Ammar Mian, Jean-Philippe Ovarlez, Abdourrahmane Atto, Guillaume Ginolhac. Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (6), pp.3919-3932. ⟨10.1109/tgrs.2018.2888993⟩. ⟨hal-02057622⟩
  • Ammar Mian, Guillaume Ginolhac, Jean-Philippe Ovarlez, Abdourrahmane Atto. New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images. IEEE Transactions on Signal Processing, 2019, 67 (2), pp.520-534. ⟨10.1109/tsp.2018.2883011⟩. ⟨hal-01975924⟩

Communications dans un congrès21 documents

  • Thibault Pautrel, Florent Bouchard, Ammar Mian, Guillaume Ginolhac. FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet. EUSIPCO, EURASIP, Aug 2026, Bruges, Belgium. ⟨hal-05754316⟩
  • Matthieu Gallet, Florent Bouchard, Ammar Mian, Guillaume Ginolhac. ARMAGNAC: A New Parametric Batch Normalization Layer for SPDNet Architecture. 34th European Signal Processing Conference (EUSIPCO), Aug 2026, Bruges (Belgium), Belgium. ⟨hal-05529546⟩
  • Matthieu Verlynde, Ammar Mian, Yajing Yan. EFFECTS OF CLASS DISTRIBUTION SHIFT IN MULTI-LABEL CLASSIFICATION SPLITS: A STUDY CASE ON BIGEARTHNET. IGARSS, IEEE, Aug 2025, Brisbane (AU), Australia. ⟨hal-05314112⟩
  • Thomas Petellat, Christophe Lin Kwong Chon, Yajing Yan, Ammar Mian. Détection et Localisation des Fissures Volcaniques dans les Interférogrammes par IA. Rencontre Scientifique Volcanologique, Jun 2025, Chambéry, France. ⟨hal-05154984⟩
  • Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal. Random matrix theory improved Fréchet mean of symmetric positive definite matrices. Forty-first International Conference on Machine Learning (ICML 2024), Jul 2024, Vienna, Austria. ⟨hal-04694884⟩
  • Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller. Buried Object Classification from GPR Data by using Second Order Deep Learning Models. International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Jul 2024, Athenes, Greece. ⟨hal-04770269⟩
  • Matthieu Gallet, Ammar Mian, Abdourrahmane Atto. RENYI DIVERGENCES LEARNING FOR EXPLAINABLE CLASSIFICATION OF SAR IMAGE PAIRS. ICASSP 2024 – 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2024, Seoul, South Korea. pp.7445-7449, ⟨10.1109/ICASSP48485.2024.10448227⟩. ⟨hal-04629670⟩
  • Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy. Learning Graphical Factor Models with Riemannian Optimization. Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2023), Sep 2023, Torino, Italy. ⟨10.1007/978-3-031-43421-1_21⟩. ⟨hal-04249001⟩
  • Olivier Lerda, Ammar Mian, Guillaume Ginolhac, Jean-Philippe Ovarlez. Détecteur de Rao robuste pour un sonar à croix de Mills. GRETSI, Aug 2023, Grenoble, France. ⟨hal-04234464⟩
  • Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy. Optimisation Riemannienne pour l’apprentissage de graphes structurés. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.585-588. ⟨hal-04228029⟩
  • Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller. Classification d’objets enfouis par un modèle du second d’ordre en utilisant des données GPR. GRETSI, Aug 2023, Grenoble (38000), France. ⟨hal-04234436⟩
  • Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller. Nouvel algorithme d’inversion robuste pour le RADAR GPR. GRETSI, XXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI, Sep 2022, Nancy, France. ⟨hal-03726282⟩
  • Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal. Riemannian classification of EEG signals with missing values. 30th European Signal Processing Conference (EUSIPCO 2022), Aug 2022, Belgrade, Serbia. ⟨10.23919/eusipco55093.2022.9909703⟩. ⟨hal-03856816⟩
  • Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller. Classification of GPR Signals via Covariance Pooling on CNN Features within a Riemannian Framework. International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lampur, Malaysia. ⟨10.1109/IGARSS46834.2022.9884684⟩. ⟨hal-03726277⟩
  • Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac. On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data. The 29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland. pp.856-859, ⟨10.23919/EUSIPCO54536.2021.9616101⟩. ⟨hal-03521267⟩
  • Ammar Mian, Arnaud Breloy, Guillaume Ginolhac, Jean-Philippe Ovarlez. Détection de Changement Robuste en Rang Faible pour les Séries Temporelles d’Images SAR. GRETSI 2019, Aug 2019, Lille, France. ⟨hal-02388708⟩
  • Ammar Mian, Lucien Bacharach, Guillaume Ginolhac, Alexandre Renaux, Mohammed Nabil El Korso, et al.. Designing Sar Images Change-point Estimation Strategies Using an Mse Lower Bound. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), IEEE, May 2019, Brighton, United Kingdom. pp.5312-5316, ⟨10.1109/ICASSP.2019.8682875⟩. ⟨hal-02152199v2⟩
  • Ammar Mian, Jean-Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane Atto. Robust Detection and Estimation of Change-Points in a Time Series of Multivariate Images. EUSIPCO 2018, EURASIP, Sep 2018, Rome, Italy. ⟨10.23919/eusipco.2018.8553285⟩. ⟨hal-01840793⟩
  • Ammar Mian, Jean-Philippe Ovarlez, Guillaume Ginolhac, Abdourahmane M Atto. A Robust Change Detector for Highly Heterogeneous Multivariate Images. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Apr 2018, Calgary, Canada. ⟨10.1109/icassp.2018.8462253⟩. ⟨hal-01840783⟩
  • Ammar Mian, Jean-Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane Atto. Détection de changement sur images SAR monovariées par analyse temps-fréquence linéaire. GRETSI 2017, Sep 2017, Juan-Les-Pins, France. ⟨hal-01617062⟩
  • Ammar Mian, Jean-Philippe Ovarlez, Guillaume Ginolhac, A Atto. Multivariate Change Detection on High Resolution Monovariate SAR Image Using Linear Time-Frequency Analysis. 25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos, Greece. ⟨10.23919/EUSIPCO.2017.8081548⟩. ⟨hal-01617069⟩

Chapitres d’ouvrage3 documents

  • Ammar Mian, Arnaud Breloy, Frédéric Pascal. Détection de changements basée sur les covariances de séries d’images SAR. ISTE Edition. Détection de changements et analyse des séries temporelles d’images 1: Méthodes non supervisées, 2022. ⟨hal-04014783⟩
  • Ammar Mian, Guillaume Ginolhac, Jean-Philippe Ovarlez, Arnaud Breloy, Frédéric Pascal. An Overview of Covariance‐based Change Detection Methodologies in Multivariate SAR Image Time Series. Change Detection and Image Time Series Analysis 1, 1, Wiley, 2021, ⟨10.1002/9781119882268.ch3⟩. ⟨hal-03519630⟩
  • Ammar Mian, Frédéric Pascal. A Comparative Study of Statistical-Based Change Detection Methods for Multidimensional and Multitemporal SAR Images. Advances in Condition Monitoring and Structural Health Monitoring, Springer Singapore, pp.189-206, 2021, Lecture Notes in Mechanical Engineering, ⟨10.1007/978-981-15-9199-0_18⟩. ⟨hal-03519611⟩

Pré-publications, Documents de travail1 document

  • Bruno Aristimunha, Ce Ju, Antoine Collas, Florent Bouchard, Ammar Mian, et al.. SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization. 2026. ⟨hal-05714371⟩

Thèses1 document


Logiciel1 document


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