activity
20182022
most citedM-VAD Names: a Dataset for Video Captioning with Naming

28 citations · 30 across the 6 of their papers we have counts for

collaborators

8 papers

cs.RO2022

Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts

Stefano Pini, Christian S. Perone, Aayush Ahuja +3

The goal of autonomous vehicles is to navigate public roads safely and comfortably. To enforce safety, traditional planning approaches rely on handcrafted rules to generate traject…

cs.LG2022

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization

Eesha Kumar, Yiming Zhang, Stefano Pini +4

The imitation learning of self-driving vehicle policies through behavioral cloning is often carried out in an open-loop fashion, ignoring the effect of actions to future states. Tr…

cs.CV2022

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…

cs.CV2021

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…

cs.CV2021★ 2 cited

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…

cs.CV2019★ 28 cited

M-VAD Names: a Dataset for Video Captioning with Naming

Stefano Pini, Marcella Cornia, Federico Bolelli +2

Current movie captioning architectures are not capable of mentioning characters with their proper name, replacing them with a generic "someone" tag. The lack of movie description d…