Multimodal Vision Research Laboratory


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Amazon Web Services Grant


The Amazon Corporation has long been a supporter of academic research in computer vision, from their fantastic Mechanical Turk site to the ability to quickly create large-scale clusters for image processing. We are grateful for their support of our research in processing social network imagery.

Related Publication(s)

  1. PDF 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.
    bibtex | doi
  2. PDF 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 | doi | tweet
  3. PDF Jacobs N, Workman S, Zhai M. 2016. Crossview Convolutional Networks. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR.2016.8010593.
    bibtex | doi
  4. PDF 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.
    bibtex | doi


This work was supported by AWS in Education Grant award.