This is an old revision of the document!
% generated by 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{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},
}
@article{bergmann_RA-L_2018,
author = {P. Bergmann and R. Wang and D. Cremers},
title = {Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM},
journal = {IEEE Robotics and Automation Letters (RA-L)},
volume = {3},
issue = {2},
pages = {627--634},
year = {2018},
month = {April},
titleurl = {bergmann17calibration.pdf},
keywords = {visual odometry, calibration, SLAM, direct, dso, photometric-calibration},
award = {ICRA'18 Best Vision Paper Award - Finalist},
}
@inproceedings{gao2018ldso,
author = {X. Gao and R. Wang and N. Demmel and D. Cremers},
title = {LDSO: Direct Sparse Odometry with Loop Closure},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
arxiv = {arXiv:1808.01111},
year = {2018},
month = {October},
keywords = {dso, ldso, 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{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{du2020dh3d,
author = {J. Du and R. Wang and D. Cremers},
title = {DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2020},
award = {Spotlight Presentation},
keywords = {SLAM, localization, re-localization, 3D learning, dh3d, 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{gladkova2021tight,
author = {M Gladkova and R Wang and N Zeller and D Cremers},
title = {Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry},
booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
year = {2021},
eprint = {2102.01191},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {relocalization, localization, dso, ldso, tirdso, vslam},
}
@inproceedings{yan2021soe,
author = {Y. Xia and Y. Xu and S. Li and R. Wang and J. Du and D. Cremers and U. Stilla},
title = {SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
award = {Oral Presentation},
}
@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{xia2023casspr,
author = {Y Xia and M Gladkova and R Wang and Q Li and U Stilla and JF. Henriques and D Cremers},
title = {{CASSPR}: Cross Attention Single Scan Place Recognition},
eprint = {2211.12542},
eprinttype = {arXiv},
eprintclass = {cs.CV},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2023},
keywords = {lidar, place recognition, deep learning},
}
@inproceedings{chen2024leapvo,
title = {LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry},
author = {W Chen and L Chen and R Wang and M Pollefeys},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
eprint = {2401.01887},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {chen2024leap.png},
}
@inproceedings{chen2024leveraging,
title = {Leveraging neural radiance fields for uncertainty-aware visual localization},
author = {L Chen and W Chen and R Wang and M Pollefeys},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
pages = {6298--6305},
year = {2024},
organization = {IEEE},
eprint = {2310.06984},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {chen2024leveraging.jpg},
}
@article{li2024vxp,
title = {VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition},
author = {YJ Li and M Gladkova and Y Xia and R Wang and D Cremers},
journal = {arXiv preprint arXiv:2403.14594},
year = {2024},
titleurl = {li2024vxp.png},
eprint = {2403.14594},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}