3 citations · 5 across the 6 of their papers we have counts for
6 papers
3D Pose Nowcasting: Forecast the Future to Improve the Present
Alessandro Simoni, Francesco Marchetti, Guido Borghi +4
Technologies to enable safe and effective collaboration and coexistence between humans and robots have gained significant importance in the last few years. A critical component use…
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…
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps
Alessandro Simoni, Stefano Pini, Guido Borghi +1
Knowing the exact 3D location of workers and robots in a collaborative environment enables several real applications, such as the detection of unsafe situations or the study of mut…
Multi-Category Mesh Reconstruction From Image Collections
Alessandro Simoni, Stefano Pini, Roberto Vezzani +1
Recently, learning frameworks have shown the capability of inferring the accurate shape, pose, and texture of an object from a single RGB image. However, current methods are traine…
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Ariel Caputo, Andrea Giachetti, Simone Soso +16
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety of application scenarios like Mixed Reality environments, touchless public kiosks, ente…
Future Urban Scenes Generation Through Vehicles Synthesis
Alessandro Simoni, Luca Bergamini, Andrea Palazzi +2
In this work we propose a deep learning pipeline to predict the visual future appearance of an urban scene. Despite recent advances, generating the entire scene in an end-to-end fa…