David Mary

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 8

Top Topics

Emission Tomography

Sparsely Sampled

Likelihood Ratio

Top Venues

IEEE Trans. Signal Process.

Publications

Sophia Sulis, David Mary, Lionel Bigot
Semi-Supervised Standardized Detection of Periodic Signals with Application to Exoplanet Detection. ICASSP (2022)
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. CoRR (2017)
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. EUSIPCO (2017)
Sophia Sulis, David Mary, Lionel Bigot
A Study of Periodograms Standardized Using Training Datasets and Application to Exoplanet Detection. IEEE Trans. Signal Process. 65 (8) (2017)
Sophia Sulis, David Mary, Lionel Bigot
A bootstrap method for sinusoid detection in colored noise and uneven sampling. Application to exoplanet detection. EUSIPCO (2017)
Sophia Sulis, David Mary, Lionel Bigot
Using hydrodynamical simulations of stellar atmospheres for periodogram standardization: Application to exoplanet detection. ICASSP (2016)
Loïc Denis, André Ferrari, David Mary, Laurent M. Mugnier, Éric Thiébaut
Fast and robust detection of a known pattern in an image. EUSIPCO (2016)
Jeremy Deguignet, André Ferrari, David Mary, Chiara Ferrari
Distributed multi-frequency image reconstruction for radio-interferometry. EUSIPCO (2016)
Antony Schutz, André Ferrari, David Mary, Éric Thiébaut, Ferréol Soulez
Large scale 3D image reconstruction in optical interferometry. EUSIPCO (2015)
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
Distributed image reconstruction for very large arrays in radio astronomy. CoRR (2015)
David Mary, André Ferrari
A non-asymptotic standardization of binomial counts in Higher Criticism. ISIT (2014)
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
GLUP: Yet another algorithm for blind unmixing of hyperspectral data. WHISPERS (2014)
Antony Schutz, André Ferrari, David Mary, Ferréol Soulez, Éric Thiébaut, Martin Vannier
PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry. CoRR (2014)
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
Subspace learning in minimax detection. ICASSP (2014)
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
Distributed image reconstruction for very large arrays in radio astronomy. SAM (2014)
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
Blind and Fully Constrained Unmixing of Hyperspectral Images. IEEE Trans. Image Process. 23 (12) (2014)
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios. IEEE Trans. Signal Process. 62 (22) (2014)
David Mary, André Ferrari, Silvia Paris
Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument. ICIP (2014)
Silvia Paris, Raja Fazliza Raja Suleiman, David Mary, André Ferrari
Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data. ICASSP (2013)
Silvia Paris, David Mary, André Ferrari
Detection Tests Using Sparse Models, With Application to Hyperspectral Data. IEEE Trans. Signal Process. 61 (6) (2013)
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
Minimax sparse detection based on one-class classifiers. ICASSP (2013)
Arwa Dabbech, David Mary, Chiara Ferrari
Astronomical image deconvolution using sparse priors: An analysis-by-synthesis approach. ICASSP (2012)
Sébastien Bourguignon, David Mary, Éric Slezak
Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms. IEEE J. Sel. Top. Signal Process. 5 (5) (2011)
Sébastien Bourguignon, Hervé Carfantan, Éric Slezak, David Mary
Sparsity-based spatial-spectral restoration of muse astrophysical hyperspectral data cubes. WHISPERS (2011)
Henri Lantéri, Céline Theys, Cédric Richard, David Mary
Regularized split gradient method for nonnegative matrix factorization. ICASSP (2011)
Silvia Paris, David Mary, André Ferrari, Sébastien Bourguignon
Sparsity-based composite detection tests. application to astrophysical hyperspectral data. EUSIPCO (2011)
Silvia Paris, David Mary, André Ferrari
PDR and LRMAP detection tests applied to massive hyperspectral data. CAMSAP (2011)
Sébastien Bourguignon, David Mary, Éric Slezak
Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument. WHISPERS (2010)