TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo (bibtex)
by L Koestler, N Yang, N Zeller and D Cremers
Reference:
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo (L Koestler, N Yang, N Zeller and D Cremers), In Conference on Robot Learning (CoRL), 2021. ([GitHub][video][project page])
Bibtex Entry:
@string{corl="Conference on Robot Learning (CoRL)"}
@inproceedings{koestler2021tandem,
 author = {L Koestler and N Yang and N Zeller and D Cremers},
 title = {TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo},
 booktitle = {Conference on Robot Learning (CoRL)},
 year = {2021},
 eprint = {2111.07418},
 eprinttype = {arXiv},
 award = {3DV'21 Best Demo Award},
 keywords = {tandem, odometry, VO, SLAM, vslam, dense reconstruction, mvs},
}
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TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo (bibtex)
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo (bibtex)
by L Koestler, N Yang, N Zeller and D Cremers
Reference:
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo (L Koestler, N Yang, N Zeller and D Cremers), In Conference on Robot Learning (CoRL), 2021. ([GitHub][video][project page])
Bibtex Entry:
@string{corl="Conference on Robot Learning (CoRL)"}
@inproceedings{koestler2021tandem,
 author = {L Koestler and N Yang and N Zeller and D Cremers},
 title = {TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo},
 booktitle = {Conference on Robot Learning (CoRL)},
 year = {2021},
 eprint = {2111.07418},
 eprinttype = {arXiv},
 award = {3DV'21 Best Demo Award},
 keywords = {tandem, odometry, VO, SLAM, vslam, dense reconstruction, mvs},
}
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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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