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    Antoine Collas

    I am currently a PhD student at SONDRA - CentraleSupelec.

    My research interests are :

    • structured covariance estimation
    • optimization
    • clustering (and more generally machine learning)
    • change detection
    • image segmentation
    • SAR images

    Journal articles2 documents

    • Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, et al.. Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, 69, pp.6546-6560. ⟨10.1109/TSP.2021.3130997⟩. ⟨hal-03521278⟩
    • 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, IEEE, 2020, 13, pp.3545-3556. ⟨10.1109/JSTARS.2020.2999615⟩. ⟨hal-02345330v2⟩

    Conference papers2 documents

    • Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean-Philippe Ovarlez. Apprentissage robuste de distance par géométrie riemannienne. GRETSI, XXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI, Sep 2022, Nancy, France. ⟨hal-03778386⟩
    • Antoine Collas, F Bouchard, A. Breloy, Chengfang Ren, Guillaume Ginolhac, et al.. A Tyler-type estimator of location and scatter leveraging Riemannian optimization. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9414974⟩. ⟨hal-03144104⟩

    Preprints, Working Papers, ...1 document

    • Alice Le Brigant, Jules Deschamps, Antoine Collas, Nina Miolane. Parametric information geometry with the package Geomstats. {date}. ⟨hal-03862556⟩