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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Veröffentlicht in:	2021 20th International Conference on Advanced Robotics (ICAR) S. 968 - 973
Hauptverfasser:	Akyol, Gamze, Sariel, Sanem, Aksoy, Eren Erdal
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.12.2021
Schlagworte:	Benchmark testing Computer vision Human-robot interaction Predictive models Robot vision systems Semantics
Online-Zugang:	Volltext
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