
<p>
<strong>This is an old revision of the document!</strong>
</p>
<hr />
% generated by bibtexbrowser <http://www.monperrus.net/martin/bibtexbrowser/>
% 
% Encoding: UTF-8
@article{yang18challenges,
 author = {N. Yang and R. Wang and X. Gao and D. Cremers},
 title = {Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect},
 journal = { In IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robots and Systems (IROS)},
 volume = {3},
 issue = {4},
 pages = {2878--2885},
 year = {2018},
 month = {Oct},
 doi = {10.1109/LRA.2018.2846813},
 titleurl = {yang18challenges.pdf},
 keywords = {Brightness;Calibration;Cameras;Feature extraction;Optimization;Robustness;Simultaneous localization and mapping;Localization;SLAM;performance evaluation and benchmarking;vslam},
}

@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{wang2020directshape,
 author = {R. Wang and N. Yang and J. Stueckler and D. Cremers},
 title = {DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation},
 booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
 year = {2020},
 keywords = {stereo, 3D reconstruction, semantic SLAM, 3D object detection, scene understanding, direct shape},
}

@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},
}

@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{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},
}

@inproceedings{wenzel2020fourseasons,
 title = {{4Seasons}: A Cross-Season Dataset for Multi-Weather {SLAM} in Autonomous Driving},
 author = {P. Wenzel and R. Wang and N. Yang and Q. Cheng and Q. Khan and L. von Stumberg and N. Zeller and D. Cremers},
 booktitle = {Proceedings of the German Conference on Pattern Recognition ({GCPR})},
 year = {2020},
 keywords = {vslam,4seasons, deep learning},
}

@inproceedings{lm-reloc-2020,
 author = {L. von Stumberg and P. Wenzel and N. Yang and D. Cremers},
 title = {LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization},
 booktitle = {International Conference on 3D Vision (3DV)},
 year = {2020},
 keywords = {lm-reloc, slam, structure-from-motion, direct method, mapping, vslam, deep learning},
}

@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},
}

@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},
}

@inproceedings{yenamandra2024fire,
 author = {T Yenamandra and A Tewari and N Yang and F Bernard and C Theobalt and D Cremers},
 title = {FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions},
 booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
 month = {January},
 year = {2024},
 pages = {3077-3087},
}

@article{wenzel2022seasons,
 title = {4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions},
 author = {P Wenzel and N Yang and R Wang and N Zeller and D Cremers},
 journal = {arXiv preprint arXiv:2301.01147},
 year = {2022},
 eprint = {2301.01147},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@inproceedings{wimbauer2023behind,
 title = {Behind the Scenes: Density Fields for Single View Reconstruction},
 author = {F Wimbauer and N Yang and C Rupprecht and D Cremers},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2023},
 eprinttype = {arXiv},
 eprint = {2301.07668},
 eprintclass = {cs.CV},
 keywords = {depth prediction, volumetric, nerf, mvs, deep learning, SLAM, vslam, reconstruction},
 titleurl = {wimbauer2023behind.png},
}