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 contribution

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