@article{liang2024road,
  annotation = {remote_sensing,transportation},
  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},
  pdf = {https://ieeexplore.ieee.org/document/10313931?source=authoralert},
  month = nov,
  year = {2023},
  author+an = {4=highlight}
}

@inproceedings{chen2021safety,
  annotation = {abstract,remote_sensing,3d,pointcloud,lidar,transportation},
  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\%},
  year = {2020},
  project = {https://mvrl.github.io/RasterNet},
  doi = {10.1109/CVPRW50498.2020.00112},
  video = {https://www.youtube.com/watch?v=IWKQoV6fXSk},
  pdf = {http://openaccess.thecvf.com/content_CVPRW_2020/html/w11/Hadzic_RasterNet_Modeling_Free-Flow_Speed_Using_LiDAR_and_Overhead_Imagery_CVPRW_2020_paper.html},
  annotation = {career,remote_sensing,3d,pointcloud,lidar,transportation}
}

@inproceedings{workman2020dynamic,
  doi = {10.1109/CVPR42600.2020.01233},
  annotation = {google_crossview,career,remote_sensing,spotlight,transportation},
  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)},
  thumbnail = {/thumbnails/dynamic_road.jpg},
  title = {Dynamic Traffic Modeling from Overhead Imagery},
  tweet = {https://twitter.com/jacobsn/status/1272916897542086658},
  year = {2020},
  video = {https://www.youtube.com/watch?v=CNe5EEdyptE},
  project = {http://cs.uky.edu/%7escott/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,
  annotation = {career,remote_sensing,transportation},
  author = {Song, Weilian and Salem, Tawfiq and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  thumbnail = {/thumbnails/freeflow_speed.jpg},
  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},
  year = {2019}
}

@inproceedings{schulter2018,
  annotation = {career,spotlight,synthesis,transportation},
  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},
  thumbnail = {/thumbnails/birdview.jpg},
  title = {Learning to Look around Objects for Top-View Representations of Outdoor Scenes},
  doi = {10.1007/978-3-030-01267-0_48},
  year = {2018}
}

@inproceedings{song2018farsa,
  annotation = {career,spotlight,transportation},
  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},
  thumbnail = {/thumbnails/farsa.jpg},
  title = {{FARSA}: Fully Automated Roadway Safety Assessment},
  tweet = {https://twitter.com/multimodal_lab/status/1352267952154943488},
  doi = {10.1109/WACV.2018.00063},
  year = {2018}
}