Multimodal Vision Research Laboratory

MVRL

about us

The Multimodal Vision Research Laboratory (MVRL) develops novel algorithms for image understanding and works to solve challenging problems in areas including remote sensing, image localization, and medical imaging. This summer we will be moving from the University of Kentucky to the Computer Science and Engineering department of Washington University in St. Louis.

If you are interested in joining us, please check out our openings page for more information and a description of current open positions.

Follow @multimodal_lab

recent news

• 02 Mar 2022 : one paper accepted to CVPR 2022, congrats to the authors, Scott Workman, M. Usman Rafique, and Hunter Blanton.
• 01 Mar 2022 : one paper accepted to IEEE TIFS, congrats to the lab authors, Rafael Padilha, Tawfiq Salem, Scott Workman, and our collaborators, Fernanda Andaló and Anderson Rocha.
• 07 Jan 2022 : one paper accepted to ISBI 2022, congrats to the authors, Xin Xing, Gongbo "Tony" Liang, Yu Zhang, and Subash Khanal.
• 14 Dec 2021 : congrats to Xin Xing and Subash Khanal on successfully defending their dissertation proposals
• 23 Nov 2021 : congrats to Jacob Birge on successfully defending his MS thesis
• 04 Oct 2021 : one paper accepted to WACV 2022, congrats to the authors, Hunter Blanton and Scott Workman.

Check the archives for old news.

selected publications

See our publications page for a complete listing.

1. 

   Workman S, Rafique MU, Blanton H, Jacobs N. 2022. Revisiting Near/Remote Sensing with Geospatial Attention. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
   bibtex

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   Bibtex Entry for "Revisiting Near/Remote Sensing with Geospatial Attention"

   @inproceedings{workman2022nearremote,
     annotation = {spotlight,remote_sensing,social_media},
     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},
     tweet = {https://twitter.com/multimodal_lab/status/1511779656684343299},
     note = {Acceptance rate: 25.33\%},
     month = jun,
     year = {2022}
   }
   

2. 

   Padilha R, Salem T, Workman S, Andaló FA, Rocha A, Jacobs N. 2022. Content-Based Detection of Temporal Metadata Manipulation. IEEE Transactions on Information Forensics and Security:1316–1327. DOI: 10.1109/TIFS.2022.3159154.
   bibtex | website

   ×Close

   Bibtex Entry for "Content-Based Detection of Temporal Metadata Manipulation"

   @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/},
     tweet = {https://twitter.com/jacobsn/status/1498729825523015681},
     annotation = {spotlight,webcam,calibration,skyfinder,localization,career,social_media,remote_sensing}
   }
   

3. 

   Blanton H, Workman S, Jacobs N. 2022. A Structure-Aware Method for Direct Pose Estimation. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
   bibtex

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   Bibtex Entry for "A Structure-Aware Method for Direct Pose Estimation"

   @inproceedings{blanton2022structureaware,
     title = {A Structure-Aware Method for Direct Pose Estimation},
     author = {Blanton, Hunter and Workman, Scott and Jacobs, Nathan},
     year = {2022},
     month = jan,
     booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
     author+an = {3=highlight},
     pdf = {https://arxiv.org/pdf/2012.12360},
     annotation = {calibration,localization,career,spotlight},
     thumbnail = {/thumbnails/direct_pose.jpg},
     primaryclass = {cs.CV}
   }
   

4. 

   Zhang Y, Liang G, Jacobs N. 2021. Dynamic Feature Alignment for Semi-supervised Domain Adaptation. In: British Machine Vision Conference (BMVC).
   bibtex

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   Bibtex Entry for "Dynamic Feature Alignment for Semi-supervised Domain Adaptation"

   @inproceedings{zhang2021dfa,
     title = {Dynamic Feature Alignment for Semi-supervised Domain Adaptation},
     author = {Zhang, Yu and Liang, Gongbo and Jacobs, Nathan},
     year = {2021},
     month = nov,
     booktitle = {British Machine Vision Conference (BMVC)},
     author+an = {3=highlight},
     annotation = {spotlight},
     pdf = {https://arxiv.org/pdf/2110.09641},
     thumbnail = {/thumbnails/dfa.jpg}
   }
   

5. 

   Liang G, Greenwell C, Zhang Y, Xing X, Wang X, Kavuluru R, Jacobs N. 2022. Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE Journal of Biomedical and Health Informatics 26. DOI: 10.1109/JBHI.2021.3110805.
   bibtex

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   Bibtex Entry for "Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging"

   @article{liang2021text,
     annotation = {medical,spotlight},
     author = {Liang, Gongbo and Greenwell, Connor and Zhang, Yu and Xing, Xin and Wang, Xiaoqin and Kavuluru, Ramakanth and Jacobs, Nathan},
     journal = {IEEE Journal of Biomedical and Health Informatics},
     title = {Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging},
     author+an = {7=highlight},
     pdf = {https://arxiv.org/pdf/2010.03060},
     doi = {10.1109/JBHI.2021.3110805},
     thumbnail = {/thumbnails/contrastive.jpg},
     year = {2022},
     month = apr,
     day = {14},
     issue = {4},
     volume = {26},
     issn = {2168-2184},
     note = {Impact factor: 5.223}
   }
   

6. 

   Rafique MU, Zhang Y, Brodie B, Jacobs N. 2021. Unifying Guided and Unguided Outdoor Image Synthesis. In: New Trends in Image Restoration and Enhancement (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops). 776–785. DOI: 10.1109/CVPRW53098.2021.00087.
   bibtex | website

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   Bibtex Entry for "Unifying Guided and Unguided Outdoor Image Synthesis"

   @inproceedings{rafique2021unifying,
     annotation = {webcam,amos,synthesis,spotlight},
     author = {Rafique, Muhammad Usman and Zhang, Yu and Brodie, Benjamin and Jacobs, Nathan},
     title = {Unifying Guided and Unguided Outdoor Image Synthesis},
     booktitle = {New Trends in Image Restoration and Enhancement
           (IEEE/CVF Conference on Computer Vision and Pattern Recognition
            (CVPR) Workshops)},
     month = jun,
     doi = {10.1109/CVPRW53098.2021.00087},
     project = {http://urafique.com/un_guided/},
     thumbnail = {/thumbnails/guided_unguided.jpg},
     pdf = {https://openaccess.thecvf.com/content/CVPR2021W/NTIRE/papers/Rafique_Unifying_Guided_and_Unguided_Outdoor_Image_Synthesis_CVPRW_2021_paper.pdf},
     year = {2021},
     pages = {776--785}
   }
   

7. 

   Liang G, Zhang Y, Wang X, Jacobs N. 2020. Improved Trainable Calibration Method for Neural Networks. In: British Machine Vision Conference (BMVC).
   bibtex | website

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   Bibtex Entry for "Improved Trainable Calibration Method for Neural Networks"

   @inproceedings{liang2020bmvc,
     annotation = {spotlight,career,medical},
     author = {Liang, Gongbo and Zhang, Yu and Wang, Xiaoqing and Jacobs, Nathan},
     booktitle = {British Machine Vision Conference (BMVC)},
     title = {Improved Trainable Calibration Method for Neural Networks},
     thumbnail = {/thumbnails/dca.jpg},
     pdf = {https://www.bmvc2020-conference.com/assets/papers/0059.pdf},
     tweet = {https://twitter.com/jacobsn/status/1296147802297442312},
     project = {http://www.gb-liang.com/dca.html},
     month = sep,
     year = {2020}
   }
   

8. 

   Rafique MU, Blanton H, Snavely N, Jacobs N. 2020. Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. In: British Machine Vision Conference (BMVC).
   bibtex | website | code

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   Bibtex Entry for "Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis"

   @inproceedings{rafique2020bmvc,
     annotation = {career,spotlight},
     author = {Rafique, M. Usman and Blanton, Hunter and Snavely, Noah and Jacobs, Nathan},
     booktitle = {British Machine Vision Conference (BMVC)},
     tweet = {https://twitter.com/jacobsn/status/1295489569576681472},
     title = {{Generative Appearance Flow}: A Hybrid Approach for Outdoor View Synthesis},
     year = {2020},
     thumbnail = {/thumbnails/gaf.jpg},
     code = {https://github.com/Usman-Rafique/gaf},
     project = {http://urafique.com/gaf/},
     pdf = {https://www.bmvc2020-conference.com/assets/papers/0055.pdf},
     month = sep
   }
   

9. 

   Salem T, Workman S, Jacobs N. 2020. Learning a Dynamic Map of Visual Appearance. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR42600.2020.01245.
   bibtex | website

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   Bibtex Entry for "Learning a Dynamic Map of Visual Appearance"

   @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}
   }
   

10. 

    Workman S, Jacobs N. 2020. Dynamic Traffic Modeling from Overhead Imagery. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR42600.2020.01233.
    bibtex | website

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    Bibtex Entry for "Dynamic Traffic Modeling from Overhead Imagery"

    @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}
    }
    

11. 

    Maretto RV, Fonseca LMG, Jacobs NB, Körting TS, Bendini HN, Parente LL. 2020. Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geoscience and Remote Sensing Letters 18:771–775. DOI: 10.1109/LGRS.2020.2986407.
    bibtex

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    Bibtex Entry for "Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest"

    @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,
      year = {2020},
      volume = {18},
      number = {5},
      pages = {771--775}
    }
    

12. 

    Hamraz H, Jacobs NB, Contreras MA, Clark CH. 2019. Deep Learning for Conifer/Deciduous Classification of Airborne LiDAR 3D Point Clouds Representing Individual Trees. ISPRS Journal of Photogrammetry and Remote Sensing 158:219–230. DOI: 10.1016/j.isprsjprs.2019.10.011.
    bibtex

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    Bibtex Entry for "Deep Learning for Conifer/Deciduous Classification of Airborne LiDAR 3D Point Clouds Representing Individual Trees"

    @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
    }
    

13. 

    Jacobs N, Kraft A, Rafique MU, Sharma RD. 2018. A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL). DOI: 10.1145/3274895.3274934.
    bibtex | code

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    Bibtex Entry for "A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery"

    @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}
    }
    

14. 

    Schulter S, Zhai M, Jacobs N, Chandraker M. 2018. Learning to Look around Objects for Top-View Representations of Outdoor Scenes. In: European Conference on Computer Vision (ECCV). DOI: 10.1007/978-3-030-01267-0_48.
    bibtex

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    Bibtex Entry for "Learning to Look around Objects for Top-View Representations of Outdoor Scenes"

    @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}
    }
    

15. 

    Zhai M, Salem T, Greenwell C, Workman S, Pless R, Jacobs N. 2018. Learning Geo-Temporal Image Features. In: British Machine Vision Conference (BMVC).
    bibtex

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    Bibtex Entry for "Learning Geo-Temporal Image Features"

    @inproceedings{zhai2018geotemporal,
      annotation = {career,localization,amos,webcam,spotlight,social_media},
      author = {Zhai, Menghua and Salem, Tawfiq and Greenwell, Connor and Workman, Scott and Pless, Robert and Jacobs, Nathan},
      booktitle = {British Machine Vision Conference (BMVC)},
      note = {Acceptance rate: 29.5\%},
      pdf = {https://arxiv.org/pdf/1909.07499},
      thumbnail = {/thumbnails/when_where.jpg},
      title = {Learning Geo-Temporal Image Features},
      year = {2018}
    }
    

16. 

    Song W, Workman S, Hadzic A, Souleyrette R, Green E, Chen M, Zhang X, Jacobs N. 2018. FARSA: Fully Automated Roadway Safety Assessment. In: IEEE Winter Conference on Applications of Computer Vision (WACV). DOI: 10.1109/WACV.2018.00063.
    bibtex

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    Bibtex Entry for "FARSA: Fully Automated Roadway Safety Assessment"

    @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}
    }
    

17. 

    Workman S, Zhai M, Crandall D, Jacobs N. 2017. A Unified Model for Near and Remote Sensing. In: IEEE International Conference on Computer Vision (ICCV). DOI: 10.1109/ICCV.2017.293.
    bibtex | website

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    Bibtex Entry for "A Unified Model for Near and Remote Sensing"

    @inproceedings{workman2017nearremote,
      annotation = {google_crossview,career,spotlight,remote_sensing,social_media},
      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}
    }
    

18. 

    Workman S, Souvenir R, Jacobs N. 2017. Understanding and Mapping Natural Beauty. In: IEEE International Conference on Computer Vision (ICCV). DOI: 10.1109/ICCV.2017.596.
    bibtex | website

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    Bibtex Entry for "Understanding and Mapping Natural Beauty"

    @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}
    }
    

19. 

    Zhai M, Bessinger Z, Workman S, Jacobs N. 2017. Predicting Ground-Level Scene Layout from Aerial Imagery. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR.2017.440.
    bibtex | code

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    Bibtex Entry for "Predicting Ground-Level Scene Layout from Aerial Imagery"

    @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://arxiv.org/pdf/1612.02709},
      tweet = {https://twitter.com/jacobsn/status/837012306814980097},
      thumbnail = {/thumbnails/predict_layout.jpg},
      title = {Predicting Ground-Level Scene Layout from Aerial Imagery},
      year = {2017}
    }
    

20. 

    Workman S, Zhai M, Jacobs N. 2016. Horizon Lines in the Wild. In: British Machine Vision Conference (BMVC).
    bibtex | website | code

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    Bibtex Entry for "Horizon Lines in the Wild"

    @inproceedings{workman2016hlw,
      annotation = {hlw,dataset_hlw,spotlight,waldo,nvidia,localization,calibration},
      author = {Workman, Scott and Zhai, Menghua and Jacobs, Nathan},
      booktitle = {British Machine Vision Conference (BMVC)},
      note = {Acceptance rate: 39.4\%},
      code = {https://github.com/scottworkman/deephorizon},
      pdf = {https://arxiv.org/pdf/1604.02129},
      project = {/datasets/hlw/},
      thumbnail = {/thumbnails/hlw.jpg},
      title = {Horizon Lines in the Wild},
      year = {2016}
    }
    

21. 

    Zhai M, Workman S, Jacobs N. 2016. Detecting Vanishing Points using Global Image Context in a Non-Manhattan World. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR.2016.610.
    bibtex | code

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    Bibtex Entry for "Detecting Vanishing Points using Global Image Context in a Non-Manhattan World"

    @inproceedings{zhai2016horizon,
      annotation = {spotlight,hlw,calibration,deeplearning,nvidia,contextualeyes},
      author = {Zhai, Menghua and Workman, Scott and Jacobs, Nathan},
      booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      code = {https://github.com/viibridges/gc-horizon-detector},
      pdf = {http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhai_Detecting_Vanishing_Points_CVPR_2016_paper.pdf},
      thumbnail = {/thumbnails/horizon_sampling.jpg},
      title = {Detecting Vanishing Points using Global Image Context in a Non-{Manhattan} World},
      note = {Acceptance rate: 29.9\%},
      doi = {10.1109/CVPR.2016.610},
      year = {2016}
    }
    

22. 

    Workman S, Souvenir R, Jacobs N. 2015. Wide-Area Image Geolocalization with Aerial Reference Imagery. In: IEEE International Conference on Computer Vision (ICCV). 1–9. DOI: 10.1109/ICCV.2015.451.
    bibtex | website | code

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    Bibtex Entry for "Wide-Area Image Geolocalization with Aerial Reference Imagery"

    @inproceedings{workman2015localize,
      annotation = {spotlight,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}
    }
    

23. 

    Murdock C, Jacobs N, Pless R. 2015. Building Dynamic Cloud Maps from the Ground Up. In: IEEE International Conference on Computer Vision (ICCV). 1–9. DOI: 10.1109/ICCV.2015.85.
    bibtex

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    Bibtex Entry for "Building Dynamic Cloud Maps from the Ground Up"

    @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}
    }
    

24. 

    Islam MT, Greenwell C, Souvenir R, Jacobs N. 2015. Large-Scale Geo-Facial Image Analysis. EURASIP Journal on Image and Video Processing (JIVP) 2015:1–14. DOI: 10.1186/s13640-015-0070-9.
    bibtex | website

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    Bibtex Entry for "Large-Scale Geo-Facial Image Analysis"

    @article{geofacial,
      annotation = {dataset_geofaces,geofaces,spotlight,contextualeyes,social_media},
      author = {Islam, Mohammad T. and Greenwell, Connor and Souvenir, Richard and Jacobs, Nathan},
      doi = {10.1186/s13640-015-0070-9},
      journal = {EURASIP Journal on Image and Video Processing (JIVP)},
      month = jun,
      note = {Impact factor: 1.060},
      number = {1},
      pages = {1--14},
      pdf = {http://jivp.eurasipjournals.com/content/2015/1/17},
      project = {https://mvrl.cse.wustl.edu/research/geofaces/},
      thumbnail = {/thumbnails/geofacial.jpg},
      title = {Large-Scale Geo-Facial Image Analysis},
      volume = {2015},
      year = {2015},
      bdsk-url-1 = {https://doi.org/10.1186/s13640-015-0070-9}
    }
    

25. 

    Workman S, Souvenir R, Jacobs N. 2015. Scene Shape Estimation from Multiple Partly Cloudy Days. Computer Vision and Image Understanding (CVIU):116–129. DOI: 10.1016/j.cviu.2014.10.002.
    bibtex | website

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    Bibtex Entry for "Scene Shape Estimation from Multiple Partly Cloudy Days"

    @article{workman2015distributed,
      annotation = {tlc,spotlight,webcam,clouds,timelapse,imagingwithnature,calibration,journal,contextualeyes},
      author = {Workman, Scott and Souvenir, Richard and Jacobs, Nathan},
      doi = {10.1016/j.cviu.2014.10.002},
      journal = {Computer Vision and Image Understanding (CVIU)},
      month = apr,
      note = {Impact factor: 1.54},
      pages = {116--129},
      project = {/research/clouds/},
      thumbnail = {/thumbnails/multiday_clouds.jpg},
      title = {Scene Shape Estimation from Multiple Partly Cloudy Days},
      year = {2015},
      bdsk-url-1 = {https://doi.org/10.1016/j.cviu.2014.10.002}
    }
    

26. 

    Workman S, Mihail RP, Jacobs N. 2014. A Pot of Gold: Rainbows as a Calibration Cue. In: European Conference on Computer Vision (ECCV). 820–835. DOI: 10.1007/978-3-319-10602-1_53.
    bibtex | website

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    Bibtex Entry for "A Pot of Gold: Rainbows as a Calibration Cue"

    @inproceedings{workman2014rainbow,
      annotation = {spotlight,conference,contextualeyes,waldo,calibration},
      author = {Workman, Scott and Mihail, Radu Paul and Jacobs, Nathan},
      booktitle = {European Conference on Computer Vision (ECCV)},
      doi = {10.1007/978-3-319-10602-1_53},
      note = {Acceptance rate: 25\%},
      pages = {820--835},
      project = {http://cs.uky.edu/%7escott/research/rainbows/},
      pdf = {https://drive.google.com/open?id=1-CFEKS9ASAQF_DuHbV8RbNlZIfs7ccO0},
      thumbnail = {/thumbnails/rainbow.jpg},
      title = {{A Pot of Gold}: Rainbows as a Calibration Cue},
      year = {2014}
    }
    

27. 

    Jacobs N, Islam MT, Workman S. 2013. Cloud Motion as a Calibration Cue. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1344–1351. DOI: 10.1109/CVPR.2013.177.
    bibtex | website

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    Bibtex Entry for "Cloud Motion as a Calibration Cue"

    @inproceedings{jacobs13cloudcalibration,
      annotation = {spotlight,motion,lost,conference,webcam,clouds,contextualeyes,timelapse,imagingwithnature,calibration},
      author = {Jacobs, Nathan and Islam, Mohammad T. and Workman, Scott},
      booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      doi = {10.1109/CVPR.2013.177},
      note = {Acceptance rate: 26.2\%},
      pages = {1344--1351},
      pdf = {https://drive.google.com/file/d/1k_pq_NEy6dtnYosZcIICNiy6w48A5cjQ/view?usp=sharing},
      project = {/research/clouds2calibration/},
      thumbnail = {/research/clouds2calibration/streamlines.gif},
      title = {Cloud Motion as a Calibration Cue},
      year = {2013},
      bdsk-url-1 = {https://doi.org/10.1109/CVPR.2013.177}
    }
    

28. 

    Abrams A, Tucek J, Jacobs N, Pless R. 2012. LOST: Longterm Observation of Scenes (with Tracks). In: IEEE Workshop on Applications of Computer Vision (WACV). 297–304. DOI: 10.1109/WACV.2012.6163032.
    bibtex

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    Bibtex Entry for "LOST: Longterm Observation of Scenes (with Tracks)"

    @inproceedings{abrams12lost,
      annotation = {spotlight,dataset_lost,workshop,timelapse,surveillance,tracking,contextualeyes,webcams},
      author = {Abrams, Austin and Tucek, Jim and Jacobs, Nathan and Pless, Robert},
      booktitle = {IEEE Workshop on Applications of Computer Vision (WACV)},
      doi = {10.1109/WACV.2012.6163032},
      note = {Acceptance rate: 44\%},
      pages = {297--304},
      pdf = {https://drive.google.com/file/d/1n7uwYGdIP8w9QEdFojV4Vb-7mp3FnlIP/view?usp=sharing},
      pubtype = {oral presentation},
      thumbnail = {/thumbnails/lost.jpg},
      title = {{LOST}: Longterm Observation of Scenes (with Tracks)},
      year = {2012},
      bdsk-url-1 = {https://doi.org/10.1109/WACV.2012.6163032}
    }
    

29. 

    Dixon M, Abrams A, Jacobs N, Pless R. 2011. On Analyzing Video with Very Small Motions. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1–8. DOI: 10.1109/CVPR.2011.5995703.
    bibtex

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    Bibtex Entry for "On Analyzing Video with Very Small Motions"

    @inproceedings{dixon11subtle,
      annotation = {spotlight,motion,tracking,pca,conference},
      author = {Dixon, Michael and Abrams, Austin and Jacobs, Nathan and Pless, Robert},
      booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      doi = {10.1109/CVPR.2011.5995703},
      note = {Acceptance rate: 26.4\%},
      pages = {1--8},
      pdf = {https://ieeexplore.ieee.org/document/5995703},
      thumbnail = {/thumbnails/flow.gif},
      video = {https://www.youtube.com/watch?v=6AKbJYpY23o},
      title = {On Analyzing Video with Very Small Motions},
      year = {2011},
      bdsk-url-1 = {https://doi.org/10.1109/CVPR.2011.5995703}
    }
    

30. 

    Jacobs N, Bies B, Pless R. 2010. Using Cloud Shadows to Infer Scene Structure and Camera Calibration. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1102–1109. DOI: 10.1109/CVPR.2010.5540093.
    bibtex | website

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    Bibtex Entry for "Using Cloud Shadows to Infer Scene Structure and Camera Calibration"

    @inproceedings{jacobs10clouds,
      author = {Jacobs, Nathan and Bies, Brian and Pless, Robert},
      booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      title = {Using Cloud Shadows to Infer Scene Structure and Camera Calibration},
      year = {2010},
      month = jun,
      note = {Acceptance rate: 4.5\% (oral)},
      pages = {1102--1109},
      annotation = {dataset_tlc,spotlight,ugrad,webcam,clouds,timelapse,imagingwithnature,calibration,3d},
      bdsk-url-1 = {https://doi.org/10.1109/CVPR.2010.5540093},
      doi = {10.1109/CVPR.2010.5540093},
      pdf = {https://drive.google.com/file/d/1eflM6RG6JAKW42ilT3xBApX8EzUFq74B/view?usp=sharing},
      project = {/research/clouds/},
      pubtype = {oral presentation},
      thumbnail = {/images/2013/11/thumb.gif}
    }
    

31. 

    Jacobs N, Burgin W, Fridrich N, Abrams A, Miskell K, Braswell BH, Richardson AD, Pless R. 2009. The Global Network of Outdoor Webcams: Properties and Applications. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL). 111–120. DOI: 10.1145/1653771.1653789.
    bibtex

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    Bibtex Entry for "The Global Network of Outdoor Webcams: Properties and Applications"

    @inproceedings{jacobs09webcamgis,
      author = {Jacobs, Nathan and Burgin, Walker and Fridrich, Nick and Abrams, Austin and Miskell, Kylia and Braswell, Bobby H. and Richardson, Andrew D. and Pless, Robert},
      booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
      title = {The Global Network of Outdoor Webcams: Properties and Applications},
      year = {2009},
      month = nov,
      note = {Acceptance rate: 20.9\%},
      pages = {111--120},
      annotation = {dataset_amos,spotlight,ugrad,webcam,timelapse,cameranetwork,calibration,social_media},
      bdsk-url-1 = {https://doi.org/10.1145/1653771.1653789},
      date-modified = {2020-03-31 16:58:07 -0400},
      doi = {10.1145/1653771.1653789},
      pdf = {https://drive.google.com/file/d/1B8zdqGHo5lmDN9cRO_j2RMmhQPQ29Drm/view?usp=sharing},
      pubtype = {oral presentation},
      thumbnail = {/thumbnails/webcam_network.jpg}
    }
    

32. 

    Jacobs N, Satkin S, Roman N, Speyer R, Pless R. 2007. Geolocating Static Cameras. In: IEEE International Conference on Computer Vision (ICCV). 1–6. DOI: 10.1109/ICCV.2007.4408995.
    bibtex | website

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    Bibtex Entry for "Geolocating Static Cameras"

    @inproceedings{jacobs07geolocate,
      author = {Jacobs, Nathan and Satkin, Scott and Roman, Nathaniel and Speyer, Richard and Pless, Robert},
      booktitle = {IEEE International Conference on Computer Vision (ICCV)},
      title = {Geolocating Static Cameras},
      year = {2007},
      month = oct,
      note = {Acceptance rate: 23\%},
      pages = {1--6},
      annotation = {spotlight,ugrad,localization,calibration,webcam,cameranetwork,imagingwithnature},
      bdsk-url-1 = {https://doi.org/10.1109/ICCV.2007.4408995},
      doi = {10.1109/ICCV.2007.4408995},
      pdf = {https://drive.google.com/file/d/1-b5r4EYvHF4uUQDqVIHdKplZ5DjWTM5P/view?usp=sharing},
      project = {/research/geolocate/},
      thumbnail = {/thumbnails/localize.jpg}
    }
    

33. 

    Jacobs N, Roman N, Pless R. 2007. Consistent Temporal Variations in Many Outdoor Scenes. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1–6. DOI: 10.1109/CVPR.2007.383258.
    bibtex | website

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    Bibtex Entry for "Consistent Temporal Variations in Many Outdoor Scenes"

    @inproceedings{jacobs07amos,
      author = {Jacobs, Nathan and Roman, Nathaniel and Pless, Robert},
      booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      title = {Consistent Temporal Variations in Many Outdoor Scenes},
      year = {2007},
      month = jun,
      note = {Acceptance rate: 23.4\%},
      pages = {1--6},
      annotation = {dataset_amos,spotlight,ugrad,webcam,timelapse,dimensionality},
      bdsk-url-1 = {https://doi.org/10.1109/CVPR.2007.383258},
      doi = {10.1109/CVPR.2007.383258},
      pdf = {https://drive.google.com/file/d/1azQYzShOnt1y8TwU4VoWOW8kkYP9mM9S/view?usp=sharing},
      project = {/research/global-webcam-archive/},
      thumbnail = {/thumbnails/consistent.jpg}
    }
    

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