Towards Real-Time Head Pose Estimation : Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets

Rieger, Ines; Hauenstein, Thomas; Hettenkofer, Sebastian; Garbas, Jens-Uwe

doi:10.1007/978-3-030-22999-3_12

Towards Real-Time Head Pose Estimation : Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets

Rieger, Ines; Hauenstein, Thomas; Hettenkofer, Sebastian; Garbas, Jens-Uwe
In: Advances and Trends in Artificial Intelligence : From Theory to Practice ; 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9–11, 2019, Proceedings. Wotawa, Franz; Friedrich, Gerhard; Pill, Ingo; Koitz-Hristov, Roxane; Ali, Moonis (Eds)
Cham : Springer, 2019. p. 123-134
DOI: 10.1007/978-3-030-22999-3_12

Details

Faculty/Professorship:	Cognitive Systems
Author(s):	Rieger, Ines ; Hauenstein, Thomas; Hettenkofer, Sebastian; Garbas, Jens-Uwe
Title of the compilation:	Advances and Trends in Artificial Intelligence : From Theory to Practice ; 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9–11, 2019, Proceedings
Editors:	Wotawa, Franz; Friedrich, Gerhard; Pill, Ingo; Koitz-Hristov, Roxane; Ali, Moonis
Corporate Body:	32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA\/AIE 2019, Graz, Austria, July 9–11, 2019
Publisher Information:	Cham : Springer
Year of publication:	2019
Pages:	123-134
ISBN:	978-3-030-22998-6
Language(s):	English
DOI:	10.1007/978-3-030-22999-3_12
Type:	Conferenceobject
URI:	https://fis.uni-bamberg.de/handle/uniba/49274
Release Date:	8. January 2021