Automated risk assessment for scene understanding and domestic robots using RGB-D data and 2.5D CNNs at a patch level

Rob Dupre; Georgios Tzimiropoulos; Vasileios Argyriou

doi:10.1109/CVPRW.2017.65

Automated risk assessment for scene understanding and domestic robots using RGB-D data and 2.5D CNNs at a patch level

Rob Dupre, Georgios Tzimiropoulos, Vasileios Argyriou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	This was also presented as a poster. This paper was published in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 476-477.
DOIs	https://doi.org/10.1109/CVPRW.2017.65
Publication status	Published - 21 Jul 2017

Bibliographical note

Note: This was also presented as a poster. This paper was published in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 476-477.

Keywords

Computer science and informatics

Access to Document

10.1109/CVPRW.2017.65

http://dx.doi.org/10.1109/CVPRW.2017.65

1 Paper

Automated risk assessment for scene understanding and domestic robots using RGB-D data and 2.5D CNNs at a patch level
Dupre, R., Tzimiropoulos, G. & Argyriou, V., 21 Jul 2017.
Research output: Contribution to conference › Paper › peer-review

Cite this

Dupre, R., Tzimiropoulos, G., & Argyriou, V. (2017). Automated risk assessment for scene understanding and domestic robots using RGB-D data and 2.5D CNNs at a patch level. In This was also presented as a poster. This paper was published in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 476-477. https://doi.org/10.1109/CVPRW.2017.65

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author = "Rob Dupre and Georgios Tzimiropoulos and Vasileios Argyriou",

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Dupre, R, Tzimiropoulos, G & Argyriou, V 2017, Automated risk assessment for scene understanding and domestic robots using RGB-D data and 2.5D CNNs at a patch level. in This was also presented as a poster. This paper was published in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 476-477.. https://doi.org/10.1109/CVPRW.2017.65

Automated risk assessment for scene understanding and domestic robots using RGB-D data and 2.5D CNNs at a patch level. / Dupre, Rob; Tzimiropoulos, Georgios; Argyriou, Vasileios.
This was also presented as a poster. This paper was published in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 476-477.. 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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