@inproceedings{qiao2024mcpdepth,
  author = {Qiao, Feng and Xiong, Zhexiao and Zhu, Xinge and Ma, Yuexin and He, Qiumeng and Jacobs, Nathan},
  title = {{MCPDepth:} Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas},
  archiveprefix = {arXiv},
  booktitle = {Omnidirectional Computer Vision Workshop (OmniCV) (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop)},
  month = jun,
  primaryclass = {cs.CV},
  eprint = {2408.01653},
  pdf = {https://arxiv.org/pdf/2408.01653},
  year = {2026}
}

@misc{xiong2026unidrive,
  author = {Xiong, Zhexiao and Ye, Xin and Yaman, Burhan and Cheng, Sheng and Lu, Yiren and Luo, Jingru and Jacobs, Nathan and Ren, Liu},
  title = {{UniDrive-WM}: Unified Understanding, Planning and Generation World Model For Autonomous Driving},
  archiveprefix = {arXiv},
  project = {https://unidrive-wm.github.io/UniDrive-WM/},
  month = jan,
  primaryclass = {cs.CV},
  eprint = {2601.04453},
  pdf = {https://arxiv.org/pdf/2601.04453},
  year = {2026}
}

@inproceedings{elallaf2026,
  title = {Beta Distribution Learning for Reliable Roadway Crash Risk Assessment},
  author = {Elallaf, Ahmad and Jacobs, Nathan and Ye, Xinyue and Chen, Mei and Liang, Gongbo},
  year = {2026},
  month = jan,
  booktitle = {Association for the Advancement of Artificial Intelligence (AAAI)},
  eprint = {2511.04886},
  pdf = {https://arxiv.org/pdf/2511.04886.pdf},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV}
}

@article{liang2024road,
  author = {Liang, Gongbo and Zulu, Janet and Xing, Xin and Jacobs, Nathan},
  title = {Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through Multi-Scale Satellite Imagery and Self-Supervised Cross-Matching},
  journal = {Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)},
  doi = {10.1109/JSTARS.2023.3331438},
  month = nov,
  year = {2023},
}

@inproceedings{chen2021safety,
  author = {Chen, Mei and Hadzic, Armin and Song, Weilian and Jacobs, Nathan},
  booktitle = {Transportation Research Board Workshop (Sponsored by AED50)},
  title = {Applications of Deep Machine Learning to Highway Safety and Usage Assessment},
  note = {(oral)},
  month = jan,
  year = {2021}
}

@inproceedings{hadzic2020rasternet,
  author = {Hadzic, Armin and Blanton, Hunter and Song, Weilian and Chen, Mei and Workman, Scott and Jacobs, Nathan},
  tweet = {https://twitter.com/jacobsn/status/1273208772576423938},
  booktitle = {IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION)},
  title = {{RasterNet}: Modeling Free-Flow Speed using LiDAR and Overhead Imagery},
  note = {Acceptance rate: 26\%},
  month = jun,
  year = {2020},
  project = {https://mvrl.github.io/RasterNet},
  doi = {10.1109/CVPRW50498.2020.00112},
  video = {https://www.youtube.com/watch?v=IWKQoV6fXSk},
  pdf = {https://openaccess.thecvf.com/content_CVPRW_2020/papers/w11/Hadzic_RasterNet_Modeling_Free-Flow_Speed_Using_LiDAR_and_Overhead_Imagery_CVPRW_2020_paper.pdf},
}

@inproceedings{workman2020dynamic,
  doi = {10.1109/CVPR42600.2020.01233},
  author = {Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  date-modified = {2020-03-31 16:54:51 -0400},
  note = {Acceptance rate: 5.7\% (oral)},
  title = {Dynamic Traffic Modeling from Overhead Imagery},
  tweet = {https://twitter.com/jacobsn/status/1272916897542086658},
  month = jun,
  year = {2020},
  video = {https://www.youtube.com/watch?v=CNe5EEdyptE},
  project = {https://www.scottworkman.com/research/traffic/},
  arxiv = {https://arxiv.org/pdf/2012.10530},
  pdf = {http://openaccess.thecvf.com/content_CVPR_2020/papers/Workman_Dynamic_Traffic_Modeling_From_Overhead_Imagery_CVPR_2020_paper.pdf}
}

@inproceedings{song2019speed,
  author = {Song, Weilian and Salem, Tawfiq and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Remote Estimation of Free-Flow Speeds},
  tweet = {https://twitter.com/multimodal_lab/status/1352269143400132610},
  note = {(oral)},
  doi = {10.1109/IGARSS.2019.8900286},
  pdf = {https://arxiv.org/pdf/1906.10104},
  month = jul,
  year = {2019},
  eprint = {1906.10104},
  archiveprefix = {arXiv}
}

@inproceedings{schulter2018,
  author = {Schulter, Samuel and Zhai, Menghua and Jacobs, Nathan and Chandraker, Manmohan},
  booktitle = {European Conference on Computer Vision (ECCV)},
  note = {Acceptance rate: 31.8\%},
  date-modified = {2020-03-31 16:57:14 -0400},
  pdf = {https://arxiv.org/pdf/1803.10870},
  title = {Learning to Look around Objects for Top-View Representations of Outdoor Scenes},
  doi = {10.1007/978-3-030-01267-0_48},
  month = sep,
  year = {2018},
  eprint = {1803.10870},
  archiveprefix = {arXiv}
}

@inproceedings{song2018farsa,
  author = {Song, Weilian and Workman, Scott and Hadzic, Armin and Souleyrette, Reginald and Green, Eric and Chen, Mei and Zhang, Xu and Jacobs, Nathan},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  date-modified = {2020-03-31 16:56:51 -0400},
  pdf = {https://arxiv.org/pdf/1901.06013},
  title = {{FARSA}: Fully Automated Roadway Safety Assessment},
  tweet = {https://twitter.com/multimodal_lab/status/1352267952154943488},
  doi = {10.1109/WACV.2018.00063},
  month = mar,
  year = {2018},
  eprint = {1901.06013},
  archiveprefix = {arXiv}
}