A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction

Despite decades of research, understanding human manipulation activities is, and has always been, one of the most attractive and challenging research topics in computer vision and robotics. Recognition and prediction of observed human manipulation actions have their roots in the applications related...

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Bibliographic Details

Published in:	2021 20th International Conference on Advanced Robotics (ICAR) pp. 968 - 973
Main Authors:	Akyol, Gamze, Sariel, Sanem, Aksoy, Eren Erdal
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06.12.2021
Subjects:	Benchmark testing Computer vision Human-robot interaction Predictive models Robot vision systems Semantics
Online Access:	Get full text
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