CVPR 2023 Open Access Repository

End-to-End Autonomous Driving: Perception, Prediction, Planning and Simulation

Lanelet2 for nuScenes: Enabling Spatial Semantic Relationships and Diverse Map-Based Anchor Paths: Alexander Naumann,

Felix Hertlein,

Daniel Grimm,

Maximilian Zipfl,

Steffen Thoma,

Achim Rettinger,

Lavdim Halilaj,

Juergen Luettin,

Stefan Schmid,

Holger Caesar; [pdf]
[bibtex]
@InProceedings{Naumann_2023_CVPR, author = {Naumann, Alexander and Hertlein, Felix and Grimm, Daniel and Zipfl, Maximilian and Thoma, Steffen and Rettinger, Achim and Halilaj, Lavdim and Luettin, Juergen and Schmid, Stefan and Caesar, Holger}, title = {Lanelet2 for nuScenes: Enabling Spatial Semantic Relationships and Diverse Map-Based Anchor Paths}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3248-3257} }
An Improved Association Pipeline for Multi-Person Tracking: Daniel Stadler,

Jürgen Beyerer; [pdf]
[bibtex]
@InProceedings{Stadler_2023_CVPR, author = {Stadler, Daniel and Beyerer, J\"urgen}, title = {An Improved Association Pipeline for Multi-Person Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3170-3179} }
Correlation Pyramid Network for 3D Single Object Tracking: Mengmeng Wang,

Teli Ma,

Xingxing Zuo,

Jiajun Lv,

Yong Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2023_CVPR, author = {Wang, Mengmeng and Ma, Teli and Zuo, Xingxing and Lv, Jiajun and Liu, Yong}, title = {Correlation Pyramid Network for 3D Single Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3216-3225} }
LDFA: Latent Diffusion Face Anonymization for Self-Driving Applications: Marvin Klemp,

Kevin Rösch,

Royden Wagner,

Jannik Quehl,

Martin Lauer; [pdf]
[bibtex]
@InProceedings{Klemp_2023_CVPR, author = {Klemp, Marvin and R\"osch, Kevin and Wagner, Royden and Quehl, Jannik and Lauer, Martin}, title = {LDFA: Latent Diffusion Face Anonymization for Self-Driving Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3199-3205} }
Integrated Perception and Planning for Autonomous Vehicle Navigation: An Optimization-Based Approach: Shubham Kedia,

Yu Zhou,

Sambhu H. Karumanchi; [pdf]
[bibtex]
@InProceedings{Kedia_2023_CVPR, author = {Kedia, Shubham and Zhou, Yu and Karumanchi, Sambhu H.}, title = {Integrated Perception and Planning for Autonomous Vehicle Navigation: An Optimization-Based Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3206-3215} }
Multi-Object Tracking by Self-Supervised Learning Appearance Model: Kaer Huang,

Kanokphan Lertniphonphan,

Feng Chen,

Jian Li,

Zhepeng Wang; [pdf]
[bibtex]
@InProceedings{Huang_2023_CVPR, author = {Huang, Kaer and Lertniphonphan, Kanokphan and Chen, Feng and Li, Jian and Wang, Zhepeng}, title = {Multi-Object Tracking by Self-Supervised Learning Appearance Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3163-3169} }
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection: Kaicheng Yu,

Tang Tao,

Hongwei Xie,

Zhiwei Lin,

Tingting Liang,

Bing Wang,

Peng Chen,

Dayang Hao,

Yongtao Wang,

Xiaodan Liang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2023_CVPR, author = {Yu, Kaicheng and Tao, Tang and Xie, Hongwei and Lin, Zhiwei and Liang, Tingting and Wang, Bing and Chen, Peng and Hao, Dayang and Wang, Yongtao and Liang, Xiaodan}, title = {Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3188-3198} }
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection: Yao Rong,

Xiangyu Wei,

Tianwei Lin,

Yueyu Wang,

Enkelejda Kasneci; [pdf] [arXiv]
[bibtex]
@InProceedings{Rong_2023_CVPR, author = {Rong, Yao and Wei, Xiangyu and Lin, Tianwei and Wang, Yueyu and Kasneci, Enkelejda}, title = {DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3238-3247} }
Pixel-Level Contrastive Learning of Driving Videos With Optical Flow: Tomoya Takahashi,

Shingo Yashima,

Kohta Ishikawa,

Ikuro Sato,

Rio Yokota; [pdf]
[bibtex]
@InProceedings{Takahashi_2023_CVPR, author = {Takahashi, Tomoya and Yashima, Shingo and Ishikawa, Kohta and Sato, Ikuro and Yokota, Rio}, title = {Pixel-Level Contrastive Learning of Driving Videos With Optical Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3180-3187} }
Contrastive Learning for Depth Prediction: Rizhao Fan,

Matteo Poggi,

Stefano Mattoccia; [pdf]
[bibtex]
@InProceedings{Fan_2023_CVPR, author = {Fan, Rizhao and Poggi, Matteo and Mattoccia, Stefano}, title = {Contrastive Learning for Depth Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3226-3237} }