23 citations · 23 across the 5 of their papers we have counts for
6 papers
BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images
Davide Di Nucci, Matteo Tomei, Guido Borghi +3
Accurate 3D reconstruction of vehicles is vital for applications such as vehicle inspection, predictive maintenance, and urban planning. Existing methods like Neural Radiance Field…
KRONC: Keypoint-based Robust Camera Optimization for 3D Car Reconstruction
Davide Di Nucci, Alessandro Simoni, Matteo Tomei +3
The three-dimensional representation of objects or scenes starting from a set of images has been a widely discussed topic for years and has gained additional attention after the di…
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components
Davide Di Nucci, Alessandro Simoni, Matteo Tomei +3
Neural Radiance Fields (NeRFs) have gained widespread recognition as a highly effective technique for representing 3D reconstructions of objects and scenes derived from sets of ima…
RMS-Net: Regression and Masking for Soccer Event Spotting
Matteo Tomei, Lorenzo Baraldi, Simone Calderara +2
The recently proposed action spotting task consists in finding the exact timestamp in which an event occurs. This task fits particularly well for soccer videos, where events corres…
Video action detection by learning graph-based spatio-temporal interactions
Matteo Tomei, Lorenzo Baraldi, Simone Calderara +2
Action Detection is a complex task that aims to detect and classify human actions in video clips. Typically, it has been addressed by processing fine-grained features extracted fro…
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
Matteo Tomei, Marcella Cornia, Lorenzo Baraldi +1
The applicability of computer vision to real paintings and artworks has been rarely investigated, even though a vast heritage would greatly benefit from techniques which can unders…