478 citations · 1.5k across the 97 of their papers we have counts for
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Face-from-Depth for Head Pose Estimation on Depth Images
Guido Borghi, Matteo Fabbri, Roberto Vezzani +2
Depth cameras allow to set up reliable solutions for people monitoring and behavior understanding, especially when unstable or poor illumination conditions make unusable common RGB…
Generative Adversarial Models for People Attribute Recognition in Surveillance
Matteo Fabbri, Simone Calderara, Rita Cucchiara
In this paper we propose a deep architecture for detecting people attributes (e.g. gender, race, clothing ...) in surveillance contexts. Our proposal explicitly deal with poor reso…
Head Detection with Depth Images in the Wild
Diego Ballotta, Guido Borghi, Roberto Vezzani +1
Head detection and localization is a demanding task and a key element for many computer vision applications, like video surveillance, Human Computer Interaction and face analysis.…
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…
Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention
Marcella Cornia, Lorenzo Baraldi, Giuseppe Serra +1
Image captioning has been recently gaining a lot of attention thanks to the impressive achievements shown by deep captioning architectures, which combine Convolutional Neural Netwo…
TransFlow: Unsupervised Motion Flow by Joint Geometric and Pixel-level Estimation
Stefano Alletto, Davide Abati, Simone Calderara +2
We address unsupervised optical flow estimation for ego-centric motion. We argue that optical flow can be cast as a geometrical warping between two successive video frames and devi…
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…
From Depth Data to Head Pose Estimation: a Siamese approach
Marco Venturelli, Guido Borghi, Roberto Vezzani +1
The correct estimation of the head pose is a problem of the great importance for many applications. For instance, it is an enabling technology in automotive for driver attention mo…
Fast Gesture Recognition with Multiple Stream Discrete HMMs on 3D Skeletons
Guido Borghi, Roberto Vezzani, Rita Cucchiara
HMMs are widely used in action and gesture recognition due to their implementation simplicity, low computational requirement, scalability and high parallelism. They have worth perf…
Deep Head Pose Estimation from Depth Data for In-car Automotive Applications
Marco Venturelli, Guido Borghi, Roberto Vezzani +1
Recently, deep learning approaches have achieved promising results in various fields of computer vision. In this paper, we tackle the problem of head pose estimation through a Conv…