Journals
V. Marsocci and N. Audebert, "Cross-sensor Self-supervised Training and Alignment for Remote Sensing," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2025.3566457. Link
Marsocci, V., Scardapane, S. "Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2023.3280029. Link
Valerio Marsocci, Virginia Coletta, Roberta Ravanelli, Simone Scardapane, Mattia Crespi, Inferring 3D change detection from bitemporal optical images, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 196, 2023, Pages 325-339, ISSN 0924-2716. Link - arXiv.
Marsocci, V., Scardapane, S., & Komodakis, N. (2021). MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing. Remote Sensing, 13(16), 3275. Link
Scardapane, S., Baiocchi, A., Devoto, A., Marsocci, V., Minervini, P., & Pomponi, J. (2024). Conditional computation in neural networks: principles and research trends. Intelligenza Artificiale. Link
Marsocci, V., & Lastilla, L. (2021). POSE-ID-on—A Novel Framework for Artwork Pose Clustering. ISPRS International Journal of Geo-Information, 10(4), 257. Link
Conferences
Blumenstiel, B., Fraccaro, P., Marsocci, V., Jakubik, J., Maurogiovanni, S., Czerkawski, M., ... & Longépé, N. (2025). Terramesh: A planetary mosaic of multimodal earth observation data. accepted at EarthVision 2025 (CVPRW 2025). Link
Espinosa, M., Marsocci, V., Jia, Y., Crowley, E. J., & Czerkawski, M. (2025). COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails. accepted at MORSE 2025 (CVPRW 2025). Link
Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet; GeoMultiTaskNet: Remote Sensing Unsupervised Domain Adaptation Using Geographical Coordinates. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 2074-2084. Link
A. Potì, V. Marsocci, A. Nicolosi, and S. Scardapane, "Assessing the Adaptability of Self-Supervised Learning Methods for Small-Scale Hyperspectral Imaging", IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, GR, 2024. Link
H. Moieez, V. Marsocci and S. Scardapane, "Continual Self-Supervised Learning in Earth Observation with Embedding Regularization," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 5029-5032, doi: 10.1109/IGARSS52108.2023.10283121. Link
Coletta, V., Marsocci, V., & Ravanelli, R. (2022). 3DCD: A NEW DATASET FOR 2D AND 3D CHANGE DETECTION USING DEEP LEARNING TECHNIQUES. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 1349-1354. Link
Preprints
Marsocci, V., Jia, Y., Bellier, G. L., Kerekes, D., Zeng, L., Hafner, S., ... & Nascetti, A. (2024). PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models. arXiv preprint arXiv:2412.04204. Link
Jakubik, J., Yang, F., Blumenstiel, B., Scheurer, E., Sedona, R., … Marsocci, V., ... & Longépé, N. (2025). TerraMind: Large-Scale Generative Multimodality for Earth Observation. arXiv preprint arXiv:2504.11171. Link
Thoreau, R., Marsocci, V., & Derksen, D. (2025). Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection. arXiv preprint arXiv:2503.09493. Link
Jia, Y., Marsocci, V., Gong, Z., Yang, X., Vergauwen, M., & Nascetti, A. (2025). Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?. arXiv preprint arXiv:2503.07890. Link
Other:
[Code]: PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models