Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels (bibtex)
by L. Koestler, N. Yang, R. Wang and D. Cremers
Reference:
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels (L. Koestler, N. Yang, R. Wang and D. Cremers), In Proceedings of the German Conference on Pattern Recognition (GCPR), 2020. ([project page][video])
Bibtex Entry:
@inproceedings{koestler2020learning,
 author = {L. Koestler and N. Yang and R. Wang and D. Cremers},
 title = {Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels},
 booktitle = {Proceedings of the German Conference on Pattern Recognition (GCPR)},
 year = {2020},
}
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Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels (bibtex)
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels (bibtex)
by L. Koestler, N. Yang, R. Wang and D. Cremers
Reference:
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels (L. Koestler, N. Yang, R. Wang and D. Cremers), In Proceedings of the German Conference on Pattern Recognition (GCPR), 2020. ([project page][video])
Bibtex Entry:
@inproceedings{koestler2020learning,
 author = {L. Koestler and N. Yang and R. Wang and D. Cremers},
 title = {Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels},
 booktitle = {Proceedings of the German Conference on Pattern Recognition (GCPR)},
 year = {2020},
}
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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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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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