Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. - Luca Maggiolo; Diego Marcos; Gabriele Moser; Devis Tuia (IGARSS, 2018)

Automatic Area-Based Registration of Optical and SAR Images Through Generative Adversarial Networks and a Correlation-Type Metric. - Luca Maggiolo; David Solarna; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2020)

Experimental Comparison of Registration Methods for Multisensor Sar-Optical Data. - Béatrice Pinel-Puysségur; Luca Maggiolo; Michel Roux; Nicolas Gasnier; David Solarna; Gabriele Moser; Sebastiano B. Serpico; Florence Tupin (IGARSS, 2021)

Optical-SAR Decision Fusion with Markov Random Fields for High-Resolution Large-Scale Land Cover Mapping. - Luca Maggiolo; David Solarna; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2022)

A CNN-Transformer Knowledge Distillation for Remote Sensing Scene Classification. - Mostaan Nabi; Luca Maggiolo; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2022)

A Tiling-Based Strategy for Large-Scale Multisensor Optical-Sar Image Registration. - David Solarna; Luca Maggiolo; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2022)

Registration of Multisensor Images through a Conditional Generative Adversarial Network and a Correlation-Type Similarity Measure. - Luca Maggiolo; David Solarna; Gabriele Moser; Sebastiano Bruno Serpico (Remote. Sens., 2022)

A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth. - Luca Maggiolo; Diego Marcos; Gabriele Moser; Sebastiano B. Serpico; Devis Tuia (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Learning and Advanced Statistical Methods for Domain Adaptation and Classification of Remote Sensing Images. - Luca Maggiolo (2022)

A Deep Learning Architecture for Unsupervised Feature Extraction from Multimission SAR Time Series. - Ignacio Masari; Luca Maggiolo; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2024)