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DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation (bibtex)
DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation (bibtex)
by R. Wang, N. Yang, J. Stueckler and D. Cremers
Reference:
DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation (R. Wang, N. Yang, J. Stueckler and D. Cremers), In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2020. ([video][presentation][project page][supplementary][arxiv])
Bibtex Entry:
@inproceedings{wang2020directshape,
 author = {R. Wang and N. Yang and J. Stueckler and D. Cremers},
 title = {DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation},
 booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
 year = {2020},
 keywords = {stereo, 3D reconstruction, semantic SLAM, 3D object detection, scene understanding, direct shape},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group