@inproceedings{sarkar2024gomaageo,
  annotation = {spotlight,remote_sensing,localization},
  title = {{GOMAA-Geo}: GOal Modality Agnostic Active Geo-localization},
  author = {Sarkar, Anindya and Sastry, Srikumar and Pirinen, Aleksis and Zhang, Chongjie and Jacobs, Nathan and Vorobeychik, Yevgeniy},
  year = {2024},
  month = dec,
  day = {9},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  eprint = {2406.01917},
  archiveprefix = {arXiv},
  thumbnail = {/thumbnails/gomaa.jpg},
  author+an = {5=highlight},
  pdf = {https://arxiv.org/pdf/2406.01917},
  code = {https://github.com/mvrl/GOMAA-Geo},
  primaryclass = {cs.CV}
}

@inproceedings{khanal2024psm,
  annotation = {remote_sensing,spotlight},
  author = {Khanal, Subash and Xing, Eric and Sastry, Srikumar and Dhakal, Aayush and Xiong, Zhexiao and Ahmad, Adeel and Jacobs, Nathan},
  thumbnail = {/thumbnails/psm.jpg},
  booktitle = {ACM Multimedia},
  title = {{PSM}: Learning Probabilistic Embeddings for Multi-scale Zero-shot Soundscape Mapping},
  author+an = {7=highlight},
  pdf = {https://arxiv.org/pdf/2408.07050},
  eprint = {2408.07050},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  month = oct,
  day = {28},
  year = {2024}
}

@inproceedings{jain2024align,
  annotation = {remote_sensing},
  author = {Jain, Pallavi and Marcos, Diego and Ienco, Dino and Interdonato, Roberto and Dhakal, Aayush and Jacobs, Nathan and Berchoux, Tristan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Aligning Geo-Tagged {CLIP} Representations and Satellite Imagery for Few-Shot Land Use Classification},
  author+an = {6=highlight},
  month = jul,
  note = {(oral)},
  year = {2024}
}

@misc{xiong2024mvps,
  annotation = {remote_sensing},
  title = {Mixed-View Panorama Synthesis using Geospatially Guided Diffusion},
  author = {Xiong, Zhexiao and Xing, Xin and Workman, Scott and Khanal, Subash and Jacobs, Nathan},
  year = {2024},
  eprint = {2407.09672},
  month = jul,
  archiveprefix = {arXiv},
  author+an = {5=highlight},
  pdf = {https://arxiv.org/pdf/2407.09672},
  primaryclass = {cs.CV}
}

@inproceedings{dhakal2024bind,
  annotation = {remote_sensing},
  author = {Dhakal, Aayush and Khanal, Subash and Sastry, Srikumar and Ahmad, Adeel and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {{GeoBind}: Binding text, image, and audio through satellite images},
  author+an = {5=highlight},
  eprint = {2404.11720},
  archiveprefix = {cs.CV},
  pdf = {https://arxiv.org/pdf/2404.11720.pdf},
  month = jul,
  note = {(oral)},
  year = {2024}
}

@inproceedings{sastry2024geosynth,
  annotation = {remote_sensing},
  title = {{GeoSynth}: Contextually-Aware High-Resolution Satellite Image Synthesis},
  author = {Sastry, Srikumar and Khanal, Subash and Dhakal, Aayush and Jacobs, Nathan},
  booktitle = {IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION)},
  archiveprefix = {arXiv},
  eprint = {2404.06637},
  pdf = {https://arxiv.org/pdf/2404.06637.pdf},
  year = {2024},
  month = jun,
  primaryclass = {cs.CV},
  author+an = {4=highlight}
}

@inproceedings{dhakal2024sat2cap,
  annotation = {remote_sensing,social_media},
  title = {{Sat2Cap}: Mapping Fine-Grained Textual Descriptions from Satellite Images},
  author = {Dhakal, Aayush and Ahmad, Adeel and Khanal, Subash and Sastry, Srikumar and Kerner, Hannah and Jacobs, Nathan},
  booktitle = {IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION)},
  year = {2024},
  month = jun,
  eprint = {2307.15904},
  archiveprefix = {arXiv},
  pdf = {https://arxiv.org/pdf/2307.15904.pdf},
  primaryclass = {cs.CV},
  note = {(Best Paper Award)},
  author+an = {6=highlight}
}

@inproceedings{sarkar2024eviction,
  title = {Geospatial Active Search for Preventing Evictions},
  author = {Sarkar, Anindya and DiChristofano, Alex and Das, Sanmay and Fowler, Patrick and Jacobs, Nathan and Vorobeychik, Yevgeniy},
  year = {2024},
  month = may,
  booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
  author+an = {5=highlight},
  annotation = {remote_sensing}
}

@article{shen2024pm,
  author = {Shen, Siyuan and Li, Chi and van Donkelaar, Aaron and Jacobs, Nathan and Wang, Chenguang and Martin, Randall V.},
  title = {Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning},
  journal = {ACS ES\&T Air},
  year = {2024},
  month = mar,
  day = {27},
  doi = {10.1021/acsestair.3c00054},
  pdf = {https://doi.org/10.1021/acsestair.3c00054},
  author+an = {4=highlight},
  annotation = {remote_sensing}
}

@inproceedings{sastry2024bird,
  title = {{BirdSat}: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping},
  author = {Sastry, Srikumar and Khanal, Subash and Dhakal, Aayush and Huang, Di and Jacobs, Nathan},
  code = {https://github.com/mvrl/BirdSAT},
  thumbnail = {/thumbnails/birdsat.jpg},
  linkedin = {https://www.linkedin.com/feed/update/urn:li:activity:7125481632219754496/},
  press = {https://engineering.wustl.edu/news/2024/For-the-birds.html},
  year = {2024},
  month = jan,
  pdf = {http://arxiv.org/pdf/2310.19168.pdf},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  author+an = {5=highlight},
  annotation = {remote_sensing,spotlight}
}

@inproceedings{sarkar2024vas,
  title = {A Visual Active Search Framework for Geospatial Exploration},
  author = {Sarkar, Anindya and Lanier, Michael and Alfeld, Scott and Feng, Jiarui and Garnett, Roman and Jacobs, Nathan and Vorobeychik, Yevgeniy},
  year = {2024},
  month = jan,
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  press = {https://engineering.wustl.edu/news/2024/Interactive-approach-to-geospatial-search-combines-aerial-imagery-reinforcement-learning.html},
  code = {https://github.com/anindyasarkarIITH/VAS},
  author+an = {6=highlight},
  pdf = {https://arxiv.org/pdf/2211.15788.pdf},
  annotation = {remote_sensing}
}

@inproceedings{greenwell2024watch,
  title = {WATCH: Wide-Area Terrestrial Change Hypercube},
  author = {Greenwell, Connor and Leotta, Matt and Crall, Jonathan and Jacobs, Nathan and Purri, Matthew and Dana, Kristin and Hadzic, Armin and Workman, Scott},
  year = {2024},
  thumbnail = {/thumbnails/watch.jpg},
  month = jan,
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  author+an = {4=highlight},
  code = {https://gitlab.kitware.com/computer-vision/geowatch},
  pdf = {https://openaccess.thecvf.com/content/WACV2024/papers/Greenwell_WATCH_Wide-Area_Terrestrial_Change_Hypercube_WACV_2024_paper.pdf},
  annotation = {remote_sensing,spotlight}
}

@article{levering2024scenicness,
  annotation = {remote_sensing},
  author = {Levering, Alex and Marcos, Diego and Jacobs, Nathan and Tuia, Devis},
  journal = {PLOS ONE},
  author+an = {3=highlight},
  publisher = {Public Library of Science},
  year = {2024},
  title = {Prompt-guided and multimodal landscape scenicness assessments with vision-language models}
}

@inproceedings{sarkar2023psrlvas,
  title = {A Partially-Supervised Reinforcement Learning Framework for Visual Active Search},
  author = {Sarkar, Anindya and Jacobs, Nathan and Vorobeychik, Yevgeniy},
  thumbnail = {/thumbnails/pvas.jpg},
  year = {2023},
  month = dec,
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  press = {https://engineering.wustl.edu/news/2023/Meta-learning-to-find-every-needle-in-a-haystack.html},
  author+an = {2=highlight},
  pdf = {https://arxiv.org/pdf/2310.09689.pdf},
  code = {https://github.com/anindyasarkarIITH/VAS},
  annotation = {remote_sensing,spotlight}
}

@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{khanal2023soundscape,
  annotation = {remote_sensing,social_media},
  title = {Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping},
  code = {https://github.com/mvrl/geoclap},
  author = {Khanal, Subash and Sastry, Srikumar and Dhakal, Aayush and Jacobs, Nathan},
  year = {2023},
  month = nov,
  linkedin = {https://www.linkedin.com/feed/update/urn:li:activity:7124749291079827456/},
  press = {https://engineering.wustl.edu/news/2023/Mapping-soundscapes-everywhere.html},
  booktitle = {British Machine Vision Conference (BMVC)},
  pdf = {https://arxiv.org/pdf/2309.10667.pdf},
  primaryclass = {cs.CV},
  author+an = {4=highlight}
}

@inproceedings{brodie2023cost,
  annotation = {remote_sensing},
  author = {Brodie, Benjamin and Sastry, Srikumar and Birge, Jacob and Pless, Robert and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {A Cost-sensitive Approach to Dimensionality Reduction for Multispectral Imagery},
  author+an = {5=highlight},
  month = jul,
  year = {2023}
}

@inproceedings{sastry2023al,
  annotation = {remote_sensing},
  author = {Sastry, Srikumar and Jacobs, Nathan and Belgiu, Mariana and Maretto, Raian Vargas},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning},
  author+an = {2=highlight},
  month = jul,
  note = {(oral)},
  year = {2023}
}

@inproceedings{sastry2023ssl,
  annotation = {remote_sensing},
  author = {Sastry, Srikumar and Dhakal, Aayush and Brodie, Benjamin and Khanal, Subash and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Explorations in Self-supervised Learning for Change Detection},
  note = {(oral)},
  author+an = {5=highlight},
  month = jul,
  year = {2023}
}

@inproceedings{archbold2023fine,
  annotation = {remote_sensing},
  author = {Archbold, Cohen and Brodie, Benjamin and Ogholbake, Aram Ansary and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Fine-grained Property Value Assessment Using Probabilistic Disaggregation},
  pdf = {https://arxiv.org/pdf/2306.00246.pdf},
  author+an = {4=highlight},
  month = jul,
  year = {2023}
}

@inproceedings{zhang2023adapt,
  annotation = {remote_sensing},
  author = {Zhang, Yu and Rafique, M. Usman and Christie, Gordon and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {{CrossAdapt}: Cross-scene Adaptation for Multi-domain Depth Estimation},
  author+an = {4=highlight},
  month = jul,
  year = {2023}
}

@inproceedings{zhang2023segment,
  annotation = {remote_sensing},
  author = {Zhang, Yu and Rafique, M. Usman and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {{CrossSeg}: Cross-scene Few-shot Aerial Segmentation Using Probabilistic Prototypes},
  author+an = {3=highlight},
  month = jul,
  note = {(oral)},
  year = {2023}
}

@inproceedings{shen2022pm,
  title = {Improving representation of the AOD to $PM_{2.5}$ relationship with a convolutional neural network},
  author = {Shen, Siyuan and van Donkelaar, Aaron and Martin, Randall V. and Jacobs, Nathan and Wang, Chenguang},
  day = {12},
  month = dec,
  year = {2022},
  author+an = {4=highlight},
  annotation = {remote_sensing},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  pdf = {https://wustl.box.com/s/ooqewvgf2asmqfoqoqp2bo0yg0yf4pkn}
}

@article{zhu2022grsm,
  title = {Geoinformation Harvesting From Social Media Data: A community remote sensing approach},
  author = {Zhu, Xiao Xiang and Wang, Yuanyuan and Kochupillai, Mrinalini and Werner, Martin and Haberle, Matthias and Hoffmann, Eike Jens and Taubenbock, Hannes and Tuia, Devis and Levering, Alex and Jacobs, Nathan and Kruspe, Anna and Abdulahhad, Karam},
  year = {2022},
  volume = {10},
  number = {4},
  month = dec,
  author+an = {10=highlight},
  annotation = {remote_sensing,social_media,calibration},
  pdf = {https://arxiv.org/pdf/2211.00543},
  journal = {IEEE Geoscience and Remote Sensing Magazine},
  doi = {10.1109/MGRS.2022.3219584},
  pages = {150--180},
  note = {Impact factor: 8.225}
}

@inproceedings{workman2022nearremote,
  annotation = {spotlight,remote_sensing,social_media,near_remote,dataset_brooklyn_and_queens},
  author = {Workman, Scott and Rafique, Muhammad Usman and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  thumbnail = {/thumbnails/nearremote2.jpg},
  title = {Revisiting Near/Remote Sensing with Geospatial Attention},
  pdf = {https://arxiv.org/pdf/2204.01807},
  doi = {10.1109/CVPR52688.2022.00182},
  tweet = {https://twitter.com/multimodal_lab/status/1511779656684343299},
  note = {Acceptance rate: 25.33\%},
  month = jun,
  year = {2022}
}

@article{padilha2022contentbased,
  title = {Content-Based Detection of Temporal Metadata Manipulation},
  author = {Padilha, Rafael and Salem, Tawfiq and Workman, Scott and Andaló, Fernanda A. and Rocha, Anderson and Jacobs, Nathan},
  year = {2022},
  month = mar,
  day = {11},
  thumbnail = {/thumbnails/tampering.jpg},
  doi = {10.1109/TIFS.2022.3159154},
  journal = {IEEE Transactions on Information Forensics and Security},
  author+an = {6=highlight},
  pdf = {https://arxiv.org/pdf/2103.04736},
  pages = {1316--1327},
  project = {https://rafaspadilha.github.io/publication/padilha22content/},
  code = {https://github.com/rafaspadilha/timestampVerificationTIFS},
  tweet = {https://twitter.com/jacobsn/status/1498729825523015681},
  annotation = {spotlight,webcam,calibration,skyfinder,localization,career,social_media,remote_sensing}
}

@article{rafique2021sinkhole,
  annotation = {career,remote_sensing,lidar,3d},
  author = {Rafique, Muhammad Usman and Zhu, Junfeng and Jacobs, Nathan},
  title = {Automatic Segmentation of Sinkholes Using a Convolutional Neural Network},
  journal = {Earth and Space Science},
  pages = {19},
  year = {2021},
  month = dec,
  day = {22},
  doi = {10.1002/essoar.10509794.1},
  pdf = {https://www.essoar.org/doi/abs/10.1002/essoar.10509794.1},
  note = {Impact factor: 3.138}
}

@inproceedings{jones2021harmonize,
  annotation = {remote_sensing,lidar,pointcloud,3d},
  author = {Jones, David and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Intensity Harmonization for Airborne {LiDAR}},
  author+an = {2=highlight},
  month = jul,
  pdf = {https://arxiv.org/pdf/2105.01793},
  doi = {10.1109/IGARSS47720.2021.9553605},
  year = {2021}
}

@inproceedings{brodie2021embed,
  annotation = {remote_sensing},
  author = {Brodie, Benjamin and Khanal, Subash and Rafique, Muhammad Usman and Greenwell, Connor and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Hierarchical Probabilistic Embeddings for Multi-View Image Classification},
  month = jul,
  doi = {10.1109/IGARSS47720.2021.9554405},
  pdf = {https://drive.google.com/file/d/16-3T9sAIRiCUM0LQBDijzp4YRz-dgrwb/view?usp=sharing},
  year = {2021}
}

@article{tuia2021collective,
  title = {Towards a Collective Agenda on AI for Earth Science Data Analysis},
  author = {Tuia, Devis and Roscher, Ribana and Wegner, Jan Dirk and Jacobs, Nathan and Zhu, Xiao Xiang and Camps-Valls, Gustau},
  year = {2021},
  author+an = {4=highlight},
  pdf = {https://arxiv.org/pdf/2104.05107},
  annotation = {remote_sensing,social_media,calibration},
  journal = {IEEE Geoscience and Remote Sensing Magazine},
  volume = {9},
  number = {2},
  month = jun,
  doi = {10.1109/MGRS.2020.3043504},
  pages = {88--104},
  publisher = {IEEE},
  note = {Impact factor: 8.225}
}

@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}
}

@article{zhu2020sinkhole,
  annotation = {career,remote_sensing,lidar,3d,pointcloud},
  author = {Zhu, Junfeng and Nolte, Adam and Jacobs, Nathan and Ye, Ming},
  journal = {Journal of Hydrology},
  title = {Machine Learning in Identifying Karst Sinkholes from {LiDAR}-Derived Topographic Depressions in the {Bluegrass} Region of {Kentucky}},
  year = {2020},
  month = sep,
  doi = {10.1016/j.jhydrol.2020.125049},
  note = {Impact factor: 4.405}
}

@inproceedings{hadzic2020pop,
  annotation = {career,remote_sensing},
  author = {Hadzic, Armin and Christie, Gordon and Freeman, Jeffrey and Dismer, Amber and Bullard, Stevan and Greiner, Ashley and Jacobs, Nathan and Mukherjee, Ryan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Estimating Displaced Populations from Overhead},
  tweet = {https://twitter.com/jacobsn/status/1278330759217139718},
  pdf = {https://arxiv.org/pdf/2006.14547},
  doi = {10.1109/IGARSS39084.2020.9324617},
  month = sep,
  year = {2020}
}

@article{maretto2020forest,
  annotation = {career,remote_sensing,spotlight},
  author = {Maretto, Raian V. and Fonseca, Leila M. G. and Jacobs, Nathan B. and K\"orting, Thales S. and Bendini, Hugo N. and Parente, Leandro L.},
  journal = {IEEE Geoscience and Remote Sensing Letters},
  note = {Impact factor: 3.534},
  doi = {10.1109/LGRS.2020.2986407},
  thumbnail = {/thumbnails/deforest.jpg},
  title = {Spatio-Temporal Deep Learning Approach to Map Deforestation in {Amazon} Rainforest},
  day = {28},
  month = apr,
  pdf = {https://ieeexplore.ieee.org/document/9080580},
  year = {2020},
  volume = {18},
  number = {5},
  pages = {771--775}
}

@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{salem2020dynamic,
  author = {Salem, Tawfiq and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  title = {Learning a Dynamic Map of Visual Appearance},
  doi = {10.1109/CVPR42600.2020.01245},
  year = {2020},
  annotation = {google_crossview,skyfinder,localization,career,remote_sensing,spotlight,timelapse,cvusa,social_media},
  date-modified = {2020-03-31 16:54:47 -0400},
  project = {https://tsalem.github.io/DynamicMaps/},
  note = {Acceptance rate: 25\%},
  pdf = {http://openaccess.thecvf.com/content_CVPR_2020/papers/Salem_Learning_a_Dynamic_Map_of_Visual_Appearance_CVPR_2020_paper.pdf},
  video = {https://www.youtube.com/watch?v=OVTvgWLlJmM},
  tweet = {https://twitter.com/jacobsn/status/1272637141797961729},
  thumbnail = {/thumbnails/dynamic_visual.jpg}
}

@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{workman2020cloud,
  annotation = {career,remote_sensing},
  author = {Workman, Scott and Rafique, M. Usman and Blanton, Hunter and Greenwell, Connor and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  note = {(oral)},
  title = {Single Image Cloud Detection via Multi-Image Fusion},
  tweet = {https://twitter.com/jacobsn/status/1289301357019635712},
  pdf = {https://drive.google.com/open?id=1-1WOqk-LfEkT7AWvVCXVoi3Y90FgBePW},
  doi = {10.1109/IGARSS39084.2020.9323759},
  year = {2020}
}

@inproceedings{blanton2020surface,
  annotation = {career,remote_sensing,lidar,pointcloud,3d,ugrad},
  author = {Blanton, Hunter and Grate, Sean and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  tweet = {https://twitter.com/jacobsn/status/1294013341720084483},
  pdf = {https://drive.google.com/file/d/1crDl4cOd6OvOU4xhTGSlyY0Wk2QaFGxf/view?usp=share_link},
  title = {Surface Modeling for Airborne {LiDAR}},
  doi = {10.1109/IGARSS39084.2020.9323522},
  note = {(oral)},
  year = {2020}
}

@article{hamraz2019deep,
  annotation = {career,remote_sensing,lidar,3d,pointcloud,spotlight},
  author = {Hamraz, Hamid and Jacobs, Nathan B. and Contreras, Marco A. and Clark, Chase H.},
  doi = {10.1016/j.isprsjprs.2019.10.011},
  issn = {0924-2716},
  journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
  note = {Impact factor: 6.946},
  pages = {219--230},
  pdf = {https://arxiv.org/pdf/1802.08872},
  thumbnail = {/thumbnails/forest.jpg},
  title = {{Deep Learning for Conifer/Deciduous Classification of
      Airborne LiDAR 3D Point Clouds Representing Individual Trees}},
  volume = {158},
  year = {2019},
  month = dec
}

@inproceedings{rafique2019fusion,
  annotation = {career,remote_sensing},
  author = {Rafique, M. Usman and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION)},
  note = {Acceptance rate: 23.5\%},
  pdf = {http://openaccess.thecvf.com/content_CVPRW_2019/papers/EarthVision/Rafique_Weakly_Supervised_Fusion_of_Multiple_Overhead_Images_CVPRW_2019_paper.pdf},
  title = {Weakly Supervised Fusion of Multiple Overhead Images},
  tweet = {https://twitter.com/m_usmanrafique/status/1118352613752356864},
  doi = {10.1109/CVPRW.2019.00189},
  year = {2019}
}

@inproceedings{greenwell2019implicit,
  annotation = {abstract,google_crossview,amazon,nvidia,remote_sensing,social_media,cvusa},
  author = {Greenwell, Connor and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE Applied Imagery and Pattern Recognition (AIPR)},
  title = {Implicit Land Use Mapping Using Social Media Imagery},
  note = {(oral)},
  doi = {10.1109/AIPR47015.2019.9174570},
  pdf = {https://drive.google.com/open?id=1XAmhngKoXOKfAqUwRBCOhCWSBLQ84mqR},
  year = {2019}
}

@inproceedings{zhu2019lidar,
  author = {Zhu, Junfeng and Nolte, Adam M and Jacobs, Nathan and Ye, Ming},
  booktitle = {Kentucky Water Resources Annual Symposium},
  title = {Incorporating Machine Learning with {LiDAR} for Delineating Sinkholes},
  year = {2019},
  annotation = {career,remote_sensing,lidar,3d}
}

@inproceedings{salem2019anything,
  annotation = {career,remote_sensing,social_media,cvusa},
  author = {Salem, Tawfiq and Greenwell, Connor and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Learning to Map Nearly Anything},
  note = {(oral)},
  pdf = {https://arxiv.org/pdf/1909.06928},
  doi = {10.1109/IGARSS.2019.8900646},
  year = {2019}
}

@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{rafique2019buildings,
  annotation = {career,remote_sensing},
  author = {Rafique, M. Usman and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Weakly Supervised Building Segmentation from Aerial Images},
  doi = {10.1109/IGARSS.2019.8898812},
  pdf = {https://drive.google.com/open?id=1n0gW0GgBG-oognmrtcycD4wkaxc6dDqv},
  year = {2019}
}

@inproceedings{greenwell2018objects,
  annotation = {career,remote_sensing,social_media,cvusa},
  author = {Greenwell, Connor and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  project = {https://connorgreenwell.github.io/publication/what_goes_where/},
  title = {What Goes Where: Predicting Object Distributions from Above},
  pdf = {https://arxiv.org/pdf/1808.00995},
  doi = {10.1109/IGARSS.2018.8519251},
  year = {2018}
}

@inproceedings{jacobs2018population,
  annotation = {career,spotlight,remote_sensing},
  author = {Jacobs, Nathan and Kraft, Adam and Rafique, M. Usman and Sharma, Ranti Dev},
  note = {Acceptance rate: 22.5\% (oral)},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  code = {https://github.com/orbitalinsight/region-aggregation-public},
  tweet = {https://twitter.com/multimodal_lab/status/1354964074812092421},
  pdf = {https://arxiv.org/pdf/1810.09528},
  thumbnail = {/thumbnails/census.jpg},
  title = {A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery},
  doi = {10.1145/3274895.3274934},
  year = {2018}
}

@inproceedings{salem2018soundscape,
  annotation = {career,remote_sensing,audio,social_media,cvsound,dataset_cvsound},
  author = {Salem, Tawfiq and Zhai, Menghua and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  pdf = {https://tsalem.github.io/audio-mapping/papers/salem2018soundscape.pdf},
  project = {https://tsalem.github.io/audio-mapping/},
  doi = {10.1109/IGARSS.2018.8517977},
  thumbnail = {/thumbnails/audio_mapping.jpg},
  title = {A Multimodal Approach to Mapping Soundscapes},
  year = {2018}
}

@inproceedings{workman2017scenic,
  annotation = {google_crossview,career,spotlight,remote_sensing,social_media},
  author = {Workman, Scott and Souvenir, Richard and Jacobs, Nathan},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  project = {http://cs.uky.edu/%7escott/research/scenicness/},
  thumbnail = {/thumbnails/beauty.jpg},
  title = {Understanding and Mapping Natural Beauty},
  doi = {10.1109/ICCV.2017.596},
  note = {Acceptance rate: 28.9\%},
  pdf = {https://arxiv.org/pdf/1612.03142},
  year = {2017}
}

@inproceedings{workman2017nearremote,
  annotation = {google_crossview,career,spotlight,remote_sensing,social_media,near_remote,dataset_brooklyn_and_queens},
  author = {Workman, Scott and Zhai, Menghua and Crandall, David and Jacobs, Nathan},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  project = {http://cs.uky.edu/%7escott/research/unified/},
  pdf = {https://arxiv.org/pdf/1708.03035},
  thumbnail = {/thumbnails/nearremote.jpg},
  title = {A Unified Model for Near and Remote Sensing},
  note = {Acceptance rate: 28.9\%},
  doi = {10.1109/ICCV.2017.293},
  year = {2017}
}

@inproceedings{zhai2017layout,
  annotation = {google_crossview,synthesis,localization,spotlight,nvidia,amazon,career,remote_sensing,cvusa},
  author = {Zhai, Menghua and Bessinger, Zach and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  code = {https://github.com/viibridges/crossnet},
  doi = {10.1109/CVPR.2017.440},
  note = {Acceptance rate: 29.2\%},
  pdf = {https://openaccess.thecvf.com/content_cvpr_2017/papers/Zhai_Predicting_Ground-Level_Scene_CVPR_2017_paper.pdf},
  tweet = {https://twitter.com/jacobsn/status/837012306814980097},
  thumbnail = {/thumbnails/predict_layout.jpg},
  title = {Predicting Ground-Level Scene Layout from Aerial Imagery},
  year = {2017}
}

@article{jacobs2016cloudmap_journal,
  annotation = {webcam,weather,clouds,contextualeyes,motion,imagingwithnature,timelapse,remote_sensing},
  author = {Jacobs, Nathan and Workman, Scott and Souvenir, Richard},
  doi = {10.1016/j.imavis.2016.05.013},
  journal = {Image and Vision Computing (IVC)},
  month = aug,
  note = {Impact factor: 1.766},
  pages = {154--166},
  pdf = {https://drive.google.com/file/d/1ohcqYqbvMBjQCTppIBD74ZYmszLVGmKh/view?usp=sharing},
  project = {/research/clouds/index.html},
  thumbnail = {/thumbnails/cloudmaps.jpg},
  title = {Cloudmaps from Static Ground-View Video},
  volume = {52},
  year = {2016}
}

@inproceedings{jacobs2016crossview,
  annotation = {google_crossview,amazon,nvidia,remote_sensing,abstract,social_media},
  author = {Jacobs, Nathan and Workman, Scott and Zhai, Menghua},
  booktitle = {IEEE Applied Imagery and Pattern Recognition (AIPR)},
  title = {Crossview Convolutional Networks},
  note = {(oral)},
  pdf = {https://drive.google.com/open?id=11Nklh0ywRjSCsyYzAlQooTzMydRA8UPK},
  doi = {10.1109/AIPR.2016.8010593},
  year = {2016}
}

@inproceedings{murdock2015cloudmap,
  annotation = {clouds,spotlight,contextualeyes,webcam,timelapse,remote_sensing},
  doi = {10.1109/ICCV.2015.85},
  author = {Murdock, Calvin and Jacobs, Nathan and Pless, Robert},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  pages = {1--9},
  pdf = {http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Murdock_Building_Dynamic_Cloud_ICCV_2015_paper.pdf},
  thumbnail = {/thumbnails/cloudmap.jpg},
  note = {Acceptance rate: 30.3\%},
  title = {Building Dynamic Cloud Maps from the Ground Up},
  year = {2015}
}

@inproceedings{workman2015localize,
  annotation = {spotlight,ugrad,dataset_cvusa,waldo,nvidia,remote_sensing,social_media,localization},
  author = {Workman, Scott and Souvenir, Richard and Jacobs, Nathan},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  code = {https://github.com/scottworkman/deeplyfound},
  pages = {1--9},
  pdf = {http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Workman_Wide-Area_Image_Geolocalization_ICCV_2015_paper.pdf},
  project = {http://cs.uky.edu/%7escott/research/deeplyfound/},
  thumbnail = {/thumbnails/crossview.jpg},
  title = {Wide-Area Image Geolocalization with Aerial Reference Imagery},
  doi = {10.1109/ICCV.2015.451},
  note = {Acceptance rate: 30.3\%},
  year = {2015}
}

@inproceedings{workman2015geocnn,
  annotation = {waldo,localization,calibration,cvusa,social_media,remote_sensing},
  author = {Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION)},
  note = {Acceptance rate: 30\%},
  pages = {1--9},
  pdf = {http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W13/papers/Workman_On_the_Location_2015_CVPR_paper.pdf},
  title = {On the Location Dependence of Convolutional Neural Network Features},
  doi = {10.1109/CVPRW.2015.7301385},
  year = {2015}
}

@inproceedings{baltenberger2013aerial,
  annotation = {abstract,environment,ugrad,remote_sensing},
  author = {Baltenberger, Ryan and Knochelman, James and Workman, Scott and Islam, Mohammad T. and Jacobs, Nathan and Griffioen, James},
  booktitle = {Kentucky GIS Conference},
  note = {Best Student Presentation},
  title = {Constructing a High-Resolution Mosaic of Kentucky Lake},
  year = {2013}
}

@inproceedings{murdock13clouds,
  annotation = {workshop,amos,timelapse,clouds,webcams,ugrad,contextualeyes,remote_sensing},
  author = {Murdock, Calvin and Jacobs, Nathan and Pless, Robert},
  booktitle = {IEEE Workshop on Applications of Computer Vision (WACV)},
  doi = {10.1109/WACV.2013.6475021},
  note = {Acceptance rate: 40\%},
  pages = {214--221},
  pdf = {https://www2.seas.gwu.edu/%7epless/papers/wacv2013Clouds.pdf},
  title = {{Webcam2Satellite}: Estimating Cloud Maps from Webcam Imagery},
  year = {2013},
  bdsk-url-1 = {https://doi.org/10.1109/WACV.2013.6475021}
}

@inproceedings{jacobs12aerial,
  annotation = {ugrad,remote_sensing},
  author = {Workman, Scott and Knochelmann, James and Jacobs, Nathan and White, David S. and Hauer, Richard},
  booktitle = {Kentucky EPSCoR Conference},
  title = {Registration and Visualization of Scientific Aerial Imagery at {Kentucky Lake}},
  year = {2012}
}

@inproceedings{welty2012update,
  annotation = {abstract,environment,timelapse,glacier,remote_sensing},
  author = {Welty, Ethan and Pfeffer, Tad and O'Neel, Shad and Jacobs, Nathan},
  booktitle = {Workshop on the Dynamics and Mass Budget of Arctic Glaciers},
  title = {Calving Dynamics of the {Columbia Glacier, AK} (2000-2011 Update)},
  year = {2012}
}

@techreport{jacobsthesis,
  annotation = {webcam,remote_sensing,surveillance,timelapse,3d,calibration,social_media},
  author = {Jacobs, Nathan},
  institution = {Computer Science and Engineering, Washington University in St. Louis, MO, USA},
  month = may,
  title = {Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams},
  pdf = {https://drive.google.com/file/d/1O1uRhTp-54bK8_E012ROqBLttX2xqHvD/view?usp=sharing},
  year = {2010}
}