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Fabio Lanzi

2 accepted papers

2020

Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

CVPR 2020poster

In this paper we present a novel approach for bottom-up multi-person 3D human pose estimation from monocular RGB images. We propose to use high resolution volumetric heatmaps to model joint locations, devising a simple and effective compression method to drastically reduce the size of this represent…

Cited by 123PDFcodeScholar
2018

Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World

ECCV 2018poster

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 cluttering introduces the challenging problems of occluded targets. For the purpose, we propose a deep network architec…

Cited by 226SourcePDFScholar