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: Contribution to conference › Paper › peer-review

Original language	English
DOIs	https://doi.org/10.1109/CVPRW.2017.65
Publication status	Published - 21 Jul 2017
Event	Deep Learning for Robotic Vision Workshop at Computer Vision and Pattern Recognition 2017 - Honolulu, Hawaii, U.S. Duration: 21 Jul 2017 → 21 Jul 2017

Workshop

Workshop	Deep Learning for Robotic Vision Workshop at Computer Vision and Pattern Recognition 2017
Period	21/07/17 → 21/07/17

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 Conference contribution

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

Cite this

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

keywords = "Computer science and informatics",

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

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.; Deep Learning for Robotic Vision Workshop at Computer Vision and Pattern Recognition 2017 ; Conference date: 21-07-2017 Through 21-07-2017",

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N1 - 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.

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