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20162026
most citedSDFR: Synthetic Data for Face Recognition Competition

7 citations · 18 across the 25 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.CV2017

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…

cs.CV2017

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.…

cs.CV2017

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…

cs.CV2017

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…

cs.CV2017

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…

cs.CV2017★ 1 cited

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…