Human pose estimation via convolutional part heatmap regression

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Human pose estimation via convolutional part heatmap regression

This paper is on human pose estimation using Convolutional Neural Networks. Our main contribution is a CNN cascaded architecture specifically designed for learning part relationships and spatial context, and robustly inferring pose even for the case of severe part occlusions. To this end, we propose...

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Bibliographic Details
Main Authors:	Bulat, Adrian, Tzimiropoulos, Georgios
Format:	Conference or Workshop Item
Published:	2016
Subjects:	Human pose estimation Part heatmap regression Convolutional Neural Networks
Online Access:	https://eprints.nottingham.ac.uk/36395/

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