Ameesh Makadia

I am currently a Computer Vision Research Scientist at Google NYC. My research interests lie at the intersection of Geometric 3D Vision, Harmonic Analysis, and Learning. Prior to joining Google Research I completed my PhD at the GRASP Lab at UPENN where I was advised by Kostas Daniilidis.

For more details please visit my personal site.

Google Publications

  •   

    Co-Segmentation of Textured 3D Shapes with Sparse Annotations

    M. Ersin Yumer, Ameesh Makadia

    Computer Vision and Pattern Recognition (CVPR) (2014)

  •   

    Learning 3D Part Detection from Sparsely Labeled Data

    Ameesh Makadia, Mehmet Ersin Yumer

    2nd International Conference on 3D Vision, 2014 (2014)

  •   

    Label Partitioning for Sublinear Ranking

    Jason Weston, Ameesh Makadia, Hector Yee

    International Conference on Machine Learning (2013)

  •   

    Baselines for Image Annotation

    Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar

    International Journal on Computer Vision (IJCV) (2010)

  •   

    Feature Tracking for Wide-Baseline Image Retrieval

    Ameesh Makadia

    European Conference on Computer Vision (ECCV) (2010)

  •   

    Shape-based Object Recognition in Videos Using 3D Synthetic Object Models

    Alexander Toshev, Ameesh Makadia, Kostas Daniilidis

    Computer Vision and Pattern Recognition (2009)

  •   

    A New Baseline For Image Annotation

    Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar

    European Conference on Computer Vision (ECCV) (2008)