Valerio Marsocci

Office: 37.1.41

Research topics: deep learning, earth observation, self-supervised learning, elevation change detection Bio: after studying environmental engineering and Big Data at Sapienza University, I earned a PhD in Data Science at Sapienza University. I have done two visiting periods: at the University of Crete and at IGN. I am currently a postdoc for the MAGE project, led by Prof. Nicolas Audebert.


Non publié

  1. Marsocci, V. and Audebert, N. Cross-sensor self-supervised training and alignment for remote sensing. , working paper or preprint. www 


Articles de conférence

  1. Marsocci, V.; Gonthier, N.; Garioud, A.; Scardapane, S. and Mallet, C. GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. In IEEE/CVF Conference on Computer VIsion and Pattern Recognition Workshops, Vancouver, Canada, 2023. www