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@article{Engel-et-al-pami2018,
author = {J. Engel and V. Koltun and D. Cremers},
title = { Direct Sparse Odometry},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2018},
month = {mar},
titleurl = {engel_et_al_pami2018.pdf},
keywords = {mono-ds,dso,directsparseodometry, vslam},
}
@inproceedings{wang2017stereoDSO,
title = {Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},
author = {R. Wang and M. Schwörer and D. Cremers},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2017},
month = {October},
address = {Venice, Italy},
keywords = {dso, visual odometry, stereo, 3D reconstruction, stereodso},
}
@inproceedings{yang2018dvso,
author = {N. Yang and R. Wang and J. Stueckler and D. Cremers},
title = {Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2018},
month = {September},
award = {Oral Presentation},
keywords = {dso, dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry, vslam},
}
@inproceedings{yang20d3vo,
author = {N. Yang and L. von Stumberg and R. Wang and D. Cremers},
title = {D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
eprint = {2003.01060},
eprinttype = {arXiv},
eprintclass = {cs.CV},
award = {Oral Presentation},
keywords = {dso,dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry,d3vo, vslam},
}
@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},
}