54 citations · 106 across the 3 of their papers we have counts for
4 papers
Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet +1
We propose to leverage recent advances in reliable 2D pose estimation with Convolutional Neural Networks (CNN) to estimate the 3D pose of people from depth images in multi-person H…
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet +1
Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction understanding as encountered for instance in HRI set…
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet +1
We propose to combine recent Convolutional Neural Networks (CNN) models with depth imaging to obtain a reliable and fast multi-person pose estimation algorithm applicable to Human…
MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces
Mary Ellen Foster, Bart Craenen, Amol Deshmukh +27
In the EU-funded MuMMER project, we have developed a social robot designed to interact naturally and flexibly with users in public spaces such as a shopping mall. We present the la…