Proportion inference using deep neural networks. Applications to x-ray diffraction and hyperspectral imaging,
T. Simonnet,
M. D. Fall,
B. Galerne,
F. Claret,
S. Grangeon,
EUSIPCO 2023.
doi.
hal.
Determinantal Determinantal Point Processes for Image Processing,
C. Launay,
B. Galerne,
A. Desolneux,
SIAM Journal on Imaging Sciences (SIIMS), 14(1), 304-348. (45 pages), 2021.
doi,
hal
Exact Sampling of Determinantal Point Processes without Eigendecomposition,
C. Launay,
B. Galerne,
A. Desolneux,
Journal of Applied Probability , Volume 57 , Issue 4 , December 2020 , pp. 1198 - 1221.
doi,
hal
On Demand Solid Texture Synthesis using Deep 3D Networks,
J. Gutierrez,
B. Galerne,
J. Rabin,
and
T. Hurtut,
Computer Graphics Forum, 2020.
doi,
hal.
2019
Patch Redundancy in Images: A Statistical Testing Framework and Some Applications, V. De Bortoli, A. Desolneux, B. Galerne,
A. Leclaire,
SIAM Journal on Imaging Sciences (SIIMS), 2019.
doi,
hal,
arXiv.
Etude de la répulsion des processus pixelliques déterminantaux, A. Desolneux, B. Galerne,
C. Launay, proceedings of GRETSI 2017 (Sept. 2017, in Juan les Pins, France).
hal
Texture Inpainting Using Efficient Gaussian Conditional Simulation,
B. Galerne and
A. Leclaire,
SIAM Journal on Imaging Sciences (SIIMS), vol. 10(3), 2017.
doi,
hal,
source code with tutorial
Random Fields of Bounded Variation and Computation of their Variation Intensity,
B. Galerne,
Advances in Applied Probability, vol. 48 (4), 2016.
doi,
hal
Modèles stochastiques pour la synthèse de textures, B. Galerne, Habilitation à diriger des recherches, soutenue le 7 novembre 2016.
pdf (in French)
A Shape-Aware Model for Discrete Texture Synthesis,
P.-E. Landes, B. Galerne and
T. Hurtut,
Computer Graphics Forum (Proceedings of EGSR'13), vol. 32 (4), 2013.
hal
The Transparent Dead Leaves Model, B. Galerne and
Y. Gousseau,
Advances in Applied Probability, 2012.
doi,
hal
2011
Computation of the Perimeter of Measurable Sets via their Covariogram. Applications to Random Sets,
B. Galerne,
Image Analysis and Stereology, 2011.
doi (pdf freely available from IAS website)