2023
- Learning Stochastic geometry models and Convolutional Neural Networks. Application to multiple object detection in aerospatial data sets, by Jules Mabon, Mathias Ortner and Josiane Zerubia.
- At the heart of density-based clustering: The percolation phenomenon, by Louis Hauseux, Konstantin Avrachenkov and Josiane Zerubia.
2022
- Point process and CNN for small object detection in satellite images, by Jules Mabon, Mathias Ortner and Josiane Zerubia.
- Adaptive birth for the Generalized Multi-Bernouilli (GMLB) filter for satelite videos, by Camilo Aguilar, Mathias Ortner and Josiane Zerubia.
- Fully convolutional and feedforward neworks for the semantic segmentation of remotely sensed images, by Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico and Josiane Zerubia.
2020
- Generative adversarial networks as a novel approach for tectonic fault and fracture extraction in high resolution satellite and airborne optical images by Bahram Jafrasteh, Isabelle Manighetti and Josiane Zerubia.
- A causal hierarchical Markov framework for the classification of multiresolution and multisensor remote sensing images by Alessandro Montaldo, Luca Fronda, Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico and Josiane Zerubia.
- An unsupervised retinal vessel extraction and segmentation method based on a tube marked point process model by Tianyu Li, Mary Comer and Josiane Zerubia.
