MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (bibtex)
by F. Wimbauer, N. Yang, L. von Stumberg, N. Zeller and D Cremers
Reference:
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (F. Wimbauer, N. Yang, L. von Stumberg, N. Zeller and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. ([project page])
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{wimbauer2020monorec,
 title = {MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera},
 author = {F. Wimbauer and N. Yang and L. von Stumberg and N. Zeller and D Cremers},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2021},
 eprint = {2011.11814},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 keywords = {monorec, dvso, d3vo, mvs, deep learning, SLAM, vslam, reconstruction},
}
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MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (bibtex)
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (bibtex)
by F. Wimbauer, N. Yang, L. von Stumberg, N. Zeller and D Cremers
Reference:
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (F. Wimbauer, N. Yang, L. von Stumberg, N. Zeller and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. ([project page])
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{wimbauer2020monorec,
 title = {MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera},
 author = {F. Wimbauer and N. Yang and L. von Stumberg and N. Zeller and D Cremers},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2021},
 eprint = {2011.11814},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 keywords = {monorec, dvso, d3vo, mvs, deep learning, SLAM, vslam, reconstruction},
}
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Nan Yang

PhD student

Technical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Fax: +49-89-289-17757
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Mail: yangn@in.tum.de

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Research Interests

My research interests lie in incorporating deep learning into classical visual odometry and SLAM.

Brief Bio

Nan Yang received his Bachelor's degree in Computer Science from Beijing University of Posts and Telecommunications and his Master's degree in Informatics from the Technical University of Munich. Since May 2018, he is a Ph.D. student and senior computer vision researcher in Artisense, a startup co-founded by Prof. Daniel Cremers.

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