25 citations · 42 across the 6 of their papers we have counts for
6 papers
A novel method and dataset for depth-guided image deblurring from smartphone Lidar
Antonio Montanaro, Diego Valsesia
Modern smartphones are equipped with Lidar sensors providing depth-sensing capabilities. Recent works have shown that this complementary sensor allows to improve various tasks in i…
MotionCraft: Physics-based Zero-Shot Video Generation
Luca Savant Aira, Antonio Montanaro, Emanuele Aiello +2
Generating videos with realistic and physically plausible motion is one of the main recent challenges in computer vision. While diffusion models are achieving compelling results in…
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh +6
Reconstructing both objects and hands in 3D from a single RGB image is complex. Existing methods rely on manually defined hand-object constraints in Euclidean space, leading to sub…
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
Antonio Montanaro, Diego Valsesia, Enrico Magli
Point clouds of 3D objects exhibit an inherent compositional nature where simple parts can be assembled into progressively more complex shapes to form whole objects. Explicitly cap…
Exploring the solution space of linear inverse problems with GAN latent geometry
Antonio Montanaro, Diego Valsesia, Enrico Magli
Inverse problems consist in reconstructing signals from incomplete sets of measurements and their performance is highly dependent on the quality of the prior knowledge encoded via…
Semi-supervised learning for joint SAR and multispectral land cover classification
Antonio Montanaro, Diego Valsesia, Giulia Fracastoro +1
Semi-supervised learning techniques are gaining popularity due to their capability of building models that are effective, even when scarce amounts of labeled data are available. In…