Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images

Mahdi Rad, Markus Oberweger, Vincent Lepetit

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Publication statusPublished - 2018
EventIEEE Conference on Computer Vision and Pattern Recognition, 2016 - Salt Lake City, United States
Duration: 18 Jun 201822 Jun 2018

Conference

ConferenceIEEE Conference on Computer Vision and Pattern Recognition, 2016
Abbreviated titleCVPR
CountryUnited States
CitySalt Lake City
Period18/06/1822/06/18

Cite this

Rad, M., Oberweger, M., & Lepetit, V. (2018). Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images. / Rad, Mahdi; Oberweger, Markus; Lepetit, Vincent.

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Rad, M, Oberweger, M & Lepetit, V 2018, Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition, 2016, Salt Lake City, United States, 18/06/18.
Rad M, Oberweger M, Lepetit V. Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018
Rad, Mahdi ; Oberweger, Markus ; Lepetit, Vincent. / Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.
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title = "Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images",
author = "Mahdi Rad and Markus Oberweger and Vincent Lepetit",
year = "2018",
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booktitle = "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition",

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M3 - Conference contribution

BT - Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

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