Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light (bibtex)
by E. Jung, N. Yang and D. Cremers
Reference:
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light (E. Jung, N. Yang and D. Cremers), In Conference on Robot Learning (CoRL), 2019. ([arxiv],[supplementary],[video])
Bibtex Entry:
@inproceedings{jung2019corl,
 author = {E. Jung and N. Yang and D. Cremers},
 booktitle = {Conference on Robot Learning (CoRL)},
 title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}},
 award = {Full Oral Presentation},
 year = {2019},
}
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Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light (bibtex)
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light (bibtex)
by E. Jung, N. Yang and D. Cremers
Reference:
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light (E. Jung, N. Yang and D. Cremers), In Conference on Robot Learning (CoRL), 2019. ([arxiv],[supplementary],[video])
Bibtex Entry:
@inproceedings{jung2019corl,
 author = {E. Jung and N. Yang and D. Cremers},
 booktitle = {Conference on Robot Learning (CoRL)},
 title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}},
 award = {Full Oral Presentation},
 year = {2019},
}
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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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