3 citations · 5 across the 5 of their papers we have counts for
6 papers · 1 filter
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…
Warp and Learn: Novel Views Generation for Vehicles and Other Objects
Andrea Palazzi, Luca Bergamini, Simone Calderara +1
In this work we introduce a new self-supervised, semi-parametric approach for synthesizing novel views of a vehicle starting from a single monocular image. Differently from paramet…
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
Matteo Fabbri, Fabio Lanzi, Simone Calderara +3
Multi-People Tracking in an open-world setting requires a special effort in precise detection. Moreover, temporal continuity in the detection phase gains more importance when scene…
Learning to Map Vehicles into Bird's Eye View
Andrea Palazzi, Guido Borghi, Davide Abati +2
Awareness of the road scene is an essential component for both autonomous vehicles and Advances Driver Assistance Systems and is gaining importance both for the academia and car co…
Predicting the Driver's Focus of Attention: the DR(eye)VE Project
Andrea Palazzi, Davide Abati, Simone Calderara +2
In this work we aim to predict the driver's focus of attention. The goal is to estimate what a person would pay attention to while driving, and which part of the scene around the v…
Learning Where to Attend Like a Human Driver
Andrea Palazzi, Francesco Solera, Simone Calderara +2
Despite the advent of autonomous cars, it's likely - at least in the near future - that human attention will still maintain a central role as a guarantee in terms of legal responsi…