Self-supervised learning for joint SAR and multispectral land cover classification. - Antonio Montanaro; Diego Valsesia; Giulia Fracastoro; Enrico Magli (CoRR, 2021)

Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry. - Antonio Montanaro; Diego Valsesia; Enrico Magli (ICIP, 2022)

Rethinking the compositionality of point clouds through regularization in the hyperbolic space. - Antonio Montanaro; Diego Valsesia; Enrico Magli (NeurIPS, 2022)

Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification. - Antonio Montanaro; Diego Valsesia; Giulia Fracastoro; Enrico Magli (IEEE Geosci. Remote. Sens. Lett., 2022)

Towards Hyperbolic Regularizers For Point Cloud Part Segmentation. - Antonio Montanaro; Diego Valsesia; Enrico Magli (ICASSP, 2023)

Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction. - Zhiying Leng; Shun-Cheng Wu; Mahdi Saleh; Antonio Montanaro; Hao Yu 010; Yin Wang 005; Nassir Navab; Xiaohui Liang 001; Federico Tombari (ICCV, 2023)

MotionCraft: Physics-Based Zero-Shot Video Generation. - Antonio Montanaro; Luca Savant Aira; Emanuele Aiello; Diego Valsesia; Enrico Magli (NeurIPS, 2024)

Refined STACK-CNN for Meteor and Space Debris Detection in Highly Variable Backgrounds. - Leonardo Olivi; Antonio Montanaro; Mario Edoardo Bertaina; Antonio Giulio Coretti; Dario Barghini; Matteo Battisti; Alexander Belov; Marta Bianciotto; Francesca Bisconti; Carl Blaksley; Sylvie Blin; Karl Bolmgren; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)