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D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry (bibtex)
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry (bibtex)
by N. Yang, L. von Stumberg, R. Wang and D. Cremers
Reference:
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry (N. Yang, L. von Stumberg, R. Wang and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. 
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{yang20d3vo,
 author = {N. Yang and L. von Stumberg and R. Wang and D. Cremers},
 title = {D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2020},
 eprint = {2003.01060},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 award = {Oral Presentation},
 keywords = {dso,dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry,d3vo, vslam},
}
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