CVPR 2025 Open Access Repository

Workshop on Autonomous Driving

PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization: Yezhi Shen,

Qiuchen Zhai,

Fengqing Zhu; [pdf] [arXiv]
[bibtex]
@InProceedings{Shen_2025_CVPR, author = {Shen, Yezhi and Zhai, Qiuchen and Zhu, Fengqing}, title = {PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2467-2476} }
AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection: Loveneet Saini,

Mirko Meuter,

Hasan Tercan,

Tobias Meisen; [pdf] [arXiv]
[bibtex]
@InProceedings{Saini_2025_CVPR, author = {Saini, Loveneet and Meuter, Mirko and Tercan, Hasan and Meisen, Tobias}, title = {AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2415-2424} }
Data Scaling Laws for End-to-End Autonomous Driving: Alexander Naumann,

Xunjiang Gu,

Tolga Dimlioglu,

Mariusz Bojarski,

Alperen Degirmenci,

Alexander Popov,

Devansh Bisla,

Marco Pavone,

Urs Muller,

Boris Ivanovic; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Naumann_2025_CVPR, author = {Naumann, Alexander and Gu, Xunjiang and Dimlioglu, Tolga and Bojarski, Mariusz and Degirmenci, Alperen and Popov, Alexander and Bisla, Devansh and Pavone, Marco and Muller, Urs and Ivanovic, Boris}, title = {Data Scaling Laws for End-to-End Autonomous Driving}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2571-2582} }
LMFormer: Lane based Motion Prediction Transformer: Harsh Yadav,

Maximilian Schaefer,

Kun Zhao,

Tobias Meisen; [pdf] [arXiv]
[bibtex]
@InProceedings{Yadav_2025_CVPR, author = {Yadav, Harsh and Schaefer, Maximilian and Zhao, Kun and Meisen, Tobias}, title = {LMFormer: Lane based Motion Prediction Transformer}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2435-2444} }
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes: Nicola Marinello,

Simen Cassiman,

Jonas Heylen,

Marc Proesmans,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Marinello_2025_CVPR, author = {Marinello, Nicola and Cassiman, Simen and Heylen, Jonas and Proesmans, Marc and Van Gool, Luc}, title = {Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2520-2529} }
Inferring Driving Maps by Deep Learning-based Trail Map Extraction: Michael Hubbertz,

Pascal Colling,

Qi Han,

Tobias Meisen; [pdf] [arXiv]
[bibtex]
@InProceedings{Hubbertz_2025_CVPR, author = {Hubbertz, Michael and Colling, Pascal and Han, Qi and Meisen, Tobias}, title = {Inferring Driving Maps by Deep Learning-based Trail Map Extraction}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2425-2434} }
What is the Added Value of UDA in the VFM Era?: Brunó B. Englert,

Tommie Kerssies,

Gijs Dubbelman; [pdf] [arXiv]
[bibtex]
@InProceedings{Englert_2025_CVPR, author = {Englert, Brun\'o B. and Kerssies, Tommie and Dubbelman, Gijs}, title = {What is the Added Value of UDA in the VFM Era?}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2530-2540} }
Multimodal 3D Object Detection on Unseen Domains: Deepti Hegde,

Suhas Lohit,

Kuan-Chuan Peng,

Michael Jones,

Vishal Patel; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hegde_2025_CVPR, author = {Hegde, Deepti and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael and Patel, Vishal}, title = {Multimodal 3D Object Detection on Unseen Domains}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2499-2509} }
Nexar Dashcam Collision Prediction Dataset and Challenge: Daniel Moura,

Shizhan Zhu,

Orly Zvitia; [pdf] [arXiv]
[bibtex]
@InProceedings{Moura_2025_CVPR, author = {Moura, Daniel and Zhu, Shizhan and Zvitia, Orly}, title = {Nexar Dashcam Collision Prediction Dataset and Challenge}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2583-2591} }
Exploring Semi-Supervised Learning for Online Mapping: Adam Lilja,

Erik Wallin,

Junsheng Fu,

Lars Hammarstrand; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lilja_2025_CVPR, author = {Lilja, Adam and Wallin, Erik and Fu, Junsheng and Hammarstrand, Lars}, title = {Exploring Semi-Supervised Learning for Online Mapping}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2477-2487} }
CE-NPBG: Connectivity Enhanced Neural Point-Based Graphics for Novel View Synthesis in Autonomous Driving Scenes: Mohammad Altillawi,

Fengyi Shen,

Liudi Yang,

Sai Manoj Prakhya,

Ziyuan Liu; [pdf]
[bibtex]
@InProceedings{Altillawi_2025_CVPR, author = {Altillawi, Mohammad and Shen, Fengyi and Yang, Liudi and Prakhya, Sai Manoj and Liu, Ziyuan}, title = {CE-NPBG: Connectivity Enhanced Neural Point-Based Graphics for Novel View Synthesis in Autonomous Driving Scenes}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2551-2559} }
TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos: Korawat Charoenpitaks,

Van-Quang Nguyen,

Masanori Suganuma,

Kentaro Arai,

Seiji Totsuka,

Hiroshi Ino,

Takayuki Okatani; [pdf] [supp]
[bibtex]
@InProceedings{Charoenpitaks_2025_CVPR, author = {Charoenpitaks, Korawat and Nguyen, Van-Quang and Suganuma, Masanori and Arai, Kentaro and Totsuka, Seiji and Ino, Hiroshi and Okatani, Takayuki}, title = {TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2445-2455} }
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos: Rajeev Yasarla,

Shizhong Han,

Hong Cai,

Fatih Porikli; [pdf]
[bibtex]
@InProceedings{Yasarla_2025_CVPR, author = {Yasarla, Rajeev and Han, Shizhong and Cai, Hong and Porikli, Fatih}, title = {DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2510-2519} }
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds: Mahan Rafidashti,

Ji Lan,

Maryam Fatemi,

Junsheng Fu,

Lars Hammarstrand,

Lennart Svensson; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rafidashti_2025_CVPR, author = {Rafidashti, Mahan and Lan, Ji and Fatemi, Maryam and Fu, Junsheng and Hammarstrand, Lars and Svensson, Lennart}, title = {NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2488-2498} }
DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection: Zhe Huang,

Yizhe Zhao,

Hao Xiao,

Chenyan Wu,

Lingting Ge; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2025_CVPR, author = {Huang, Zhe and Zhao, Yizhe and Xiao, Hao and Wu, Chenyan and Ge, Lingting}, title = {DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2560-2570} }
PatchContrast: Self-Supervised Pre-Training for 3D Object Detection: Oren Shrout,

Ori Nizan,

Yizhak Ben-Shabat,

Ayellet Tal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shrout_2025_CVPR, author = {Shrout, Oren and Nizan, Ori and Ben-Shabat, Yizhak and Tal, Ayellet}, title = {PatchContrast: Self-Supervised Pre-Training for 3D Object Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2456-2466} }
TrajGNAS: Heterogeneous Multiagent Trajectory Prediction Based on a Graph Neural Architecture Search: Yunheng Xu,

Jie Chen,

Shuoheng Wang,

Xinwen Wang; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2025_CVPR, author = {Xu, Yunheng and Chen, Jie and Wang, Shuoheng and Wang, Xinwen}, title = {TrajGNAS: Heterogeneous Multiagent Trajectory Prediction Based on a Graph Neural Architecture Search}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2541-2550} }