Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras (bibtex)
by L. Ma, J. Stueckler, C. Kerl and D. Cremers
Reference:
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras (L. Ma, J. Stueckler, C. Kerl and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2017. 
Bibtex Entry:
@string{iros="International Conference on Intelligent Robots and Systems (IROS)"}
@inproceedings{lingni17iros,
 author = {L. Ma and J. Stueckler and C. Kerl and D. Cremers},
 title = {Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 address = {Vancouver, Canada},
 year = {2017},
 month = {Sep},
 keywords = {CNN, semantic segmentation, multi-view},
}
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Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras (bibtex)
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras (bibtex)
by L. Ma, J. Stueckler, C. Kerl and D. Cremers
Reference:
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras (L. Ma, J. Stueckler, C. Kerl and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2017. 
Bibtex Entry:
@string{iros="International Conference on Intelligent Robots and Systems (IROS)"}
@inproceedings{lingni17iros,
 author = {L. Ma and J. Stueckler and C. Kerl and D. Cremers},
 title = {Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras},
 booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
 address = {Vancouver, Canada},
 year = {2017},
 month = {Sep},
 keywords = {CNN, semantic segmentation, multi-view},
}
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members:kerl

Table of Contents

Christian Kerl


Technical University of Munich

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

Fax: +49-89-289-17757
Office: 
Mail:

Research Interests

dense visual odometry, autonomous quadrocopters, large-scale 3D reconstruction, motion segmentation

Publications