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20242026
most citedEfficient onboard multi-task AI architecture based on self-supervised learning

5 citations · 7 across the 10 of their papers we have counts for

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cs.CV2025

Compress-Align-Detect: onboard change detection from unregistered images

Gabriele Inzerillo, Diego Valsesia, Aniello Fiengo +1

Change detection from satellite images typically incurs a delay ranging from several hours up to days because of latency in downlinking the acquired images and generating orthorect…

cs.CV2024

Deep Lidar-guided Image Deblurring

Ziyao Yi, Diego Valsesia, Tiziano Bianchi +1

The rise of portable Lidar instruments, including their adoption in smartphones, opens the door to novel computational imaging techniques. Being an active sensing instrument, Lidar…

cs.CV2024

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching

Emanuele Aiello, Umberto Michieli, Diego Valsesia +2

Personalized image generation requires text-to-image generative models that capture the core features of a reference subject to allow for controlled generation across different con…

cs.CV2024

Modeling uncertainty for Gaussian Splatting

Luca Savant, Diego Valsesia, Enrico Magli

We present Stochastic Gaussian Splatting (SGS): the first framework for uncertainty estimation using Gaussian Splatting (GS). GS recently advanced the novel-view synthesis field by…

cs.CV2024

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow

Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini +3

Multi-image super-resolution (MISR) allows to increase the spatial resolution of a low-resolution (LR) acquisition by combining multiple images carrying complementary information i…