Multimodal Vision Research Laboratory MVRL
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NVIDIA Hardware Donation Grant

Fast Graphical Processing Units (GPUs) are key enablers for current deep learning methods in computer vision. We are grateful to the NVIDIA corporation for supporting our research in this area. Currently we are using a donated Tesla K40c GPU to train models for several different tasks.

Related Publication(s)

  1. Thumbnail for Implicit Land Use Mapping Using Social Media Imagery
    Greenwell C, Workman S, Jacobs N. 2019. Implicit Land Use Mapping Using Social Media Imagery. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR47015.2019.9174570.
    paper doi bibtex GeoAI Urban
  2. 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.
    code paper doi bibtex GenAI Localization GeoAI Urban
  3. Thumbnail for Who Goes There? Approaches to Mapping Facial Appearance Diversity
    Bessinger Z, Stauffer C, Jacobs N. 2016. Who Goes There? Approaches to Mapping Facial Appearance Diversity. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL). DOI: 10.1145/2996913.2996997.
    paper doi bibtex Urban
  4. Thumbnail for Crossview Convolutional Networks
    Jacobs N, Workman S, Zhai M. 2016. Crossview Convolutional Networks. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR.2016.8010593.
    paper doi bibtex GeoAI Urban
  5. 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).
    code website paper bibtex Localization Calibration
  6. Thumbnail for Quantifying Curb Appeal
    Bessinger Z, Jacobs N. 2016. Quantifying Curb Appeal. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2016.7533189.
    website paper doi bibtex Urban
  7. Thumbnail for Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
    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.
    code paper doi bibtex Calibration Geometry
  8. Thumbnail for Analyzing Human Appearance as a Cue for Dating Images
    Salem T, Workman S, Zhai M, Jacobs N. 2016. Analyzing Human Appearance as a Cue for Dating Images. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 1–8. DOI: 10.1109/WACV.2016.7477678.
    website paper doi bibtex
  9. Thumbnail for Sky Segmentation in the Wild: An Empirical Study
    Mihail RP, Workman S, Bessinger Z, Jacobs N. 2016. Sky Segmentation in the Wild: An Empirical Study. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 1–6. DOI: 10.1109/WACV.2016.7477637.
    website paper doi bibtex
  10. Thumbnail for A Fast Method for Estimating Transient Scene Properties
    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.
    code website paper doi bibtex Localization
  11. 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.
    code website paper doi bibtex Localization Urban

Acknowledgements

We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research.

Grant Details

  • Role: PI
  • Funding Source: NVIDIA Corporation
  • Budget: ~$4000
  • Duration: 2015 – 2015
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