Multimodal Vision Research Laboratory

MVRL

Research Area: Image Localization

Where on Earth was an image taken—and how do we align ground-level views with overhead reference data? Image localization is a long-standing focus of the lab, spanning static outdoor cameras, single-image geolocalization, and cross-view matching between street-level and satellite imagery. Recent work includes goal modality agnostic active geo-localization (GOMAA-Geo), structure-aware direct pose estimation, and localizing limited field-of-view images via cross-view matching (ArcGeo). These methods connect ground photos, panoramas, and maps into a shared geospatial frame for search, monitoring, and embodied exploration.

All Publications

  1. Wollam A, Ashley K, Shugaev M, Arend O, Semenov IY, Dashtestani H, Ravi S, Jacobs N. 2026. Towards Unconstrained Cross-View Pose Estimation. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
  2. Thumbnail for GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
    Sarkar A, Sastry S, Pirinen A, Zhang C, Jacobs N, Vorobeychik Y. 2024. GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. In: Neural Information Processing Systems (NeurIPS).
  3. Shugaev M, Semenov I, Ashley K, Klaczynski M, Cuntoor N, Lee MW, Jacobs N. 2024. ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
  4. Xiong Z, Qiao F, Zhang Y, Jacobs N. 2023. StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. In: British Machine Vision Conference (BMVC).
  5. Thumbnail for Content-Based Detection of Temporal Metadata Manipulation
    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.
  6. Thumbnail for A Structure-Aware Method for Direct Pose Estimation
    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). DOI: 10.1109/WACV51458.2022.00028.
  7. Blanton H, Greenwell C, Workman S, Jacobs N. 2020. Extending Absolute Pose Regression to Multiple Scenes. In: Joint Workshop on Long-Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM (CVPR Workshop). DOI: 10.1109/CVPRW50498.2020.00027.
  8. Thumbnail for Learning a Dynamic Map of Visual Appearance
    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.
  9. Thumbnail for Learning Geo-Temporal Image Features
    Zhai M, Salem T, Greenwell C, Workman S, Pless R, Jacobs N. 2018. Learning Geo-Temporal Image Features. In: British Machine Vision Conference (BMVC).
  10. Vo N, Jacobs N, Hays J. 2017. Revisiting IM2GPS in the Deep Learning Era. In: IEEE International Conference on Computer Vision (ICCV). DOI: 10.1109/ICCV.2017.286.
  11. Thumbnail for Predicting Ground-Level Scene Layout from Aerial Imagery
    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.
  12. Thumbnail for Horizon Lines in the Wild
    Workman S, Zhai M, Jacobs N. 2016. Horizon Lines in the Wild. In: British Machine Vision Conference (BMVC).
  13. Thumbnail for Camera Geo-Calibration using an MCMC Approach
    Zhai M, Workman S, Jacobs N. 2016. Camera Geo-Calibration using an MCMC Approach. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2016.7532905.
  14. Baltenberger R, Zhai M, Greenwell C, Workman S, Jacobs N. 2016. A Fast Method for Estimating Transient Scene Properties. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 1–8. DOI: 10.1109/WACV.2016.7477713.
  15. Whitney JAG, Fessler JT, Kratzer ZCN, Jacobs NB, Whitney AM, others. 2016. Method and System for Estimating Error in Predicted Distance Using RSSI Signature. US Patent 2016/0003932.
  16. Thumbnail for Wide-Area Image Geolocalization with Aerial Reference Imagery
    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.
  17. Thumbnail for Face2GPS: Estimating Geographic Location from Facial Features
    Islam MT, Workman S, Jacobs N. 2015. Face2GPS: Estimating Geographic Location from Facial Features. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2015.7351072.
  18. Workman S, Jacobs N. 2015. On the Location Dependence of Convolutional Neural Network Features. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION). 1–9. DOI: 10.1109/CVPRW.2015.7301385.
  19. Whitney A, Fessler J, Parker J, Jacobs N. 2014. Received Signal Strength Indication Signature for Passive UHF Tags. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). 1183–1187. DOI: 10.1109/AIM.2014.6878242.
  20. Jacobs N, Miskell K, Pless R. 2011. Webcam Geo-localization using Aggregate Light Levels. In: IEEE Workshop on Applications of Computer Vision (WACV). 132–138. DOI: 10.1109/WACV.2011.5711494.
  21. Jacobs N, Roman N, Pless R. 2008. Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras. In: IEEE Workshop on Applications of Computer Vision (WACV). 1–6. DOI: 10.1109/WACV.2008.4544040.
  22. Thumbnail for Geolocating Static Cameras
    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.