I'm currently a second year PhD student at the College of Engineering and Computer Science, Australian National University and a member of the Computer Vision Research Group at NICTA's Canberra Research Lab. My main research interests are Riemannian geometry, and kernel methods with applications to computer vision. Prof. Richard Hartley is my PhD advisor.

I'm also a committer at The Apache Software Foundation.

My Erdos number is 4 through the following path.
Sadeep Jayasumana   ->  Richard Hartley  ->  Marc Kilgour  ->  Peter Fishburn  ->  Paul Erdős.

• M. Harandi, M. Salzmann, S. Jayasumana, R. Hartley, H. Li
  Expanding the Family of Grassmannian Kernels: An Embedding Perspective
  In European Conference on Computer Vision (ECCV), 2014.
  Accepted.
  [PDF]     [Bibtex]

  @InProceedings{Harandi_ECCV2014_Grassmann,
    author = {Mehrtash Harandi and Mathieu Salzmann and Sadeep Jayasumana and Richard Hartley and Hongdong Li},
    title = {{Expanding the Family of Grassmannian Kernels: An Embedding Perspective}},
    booktitle = {European Conference on Computer Vision (ECCV)},
    year = {2014},
  }
  



• S. Jayasumana, R. Hartley, M. Salzmann, H. Li, M. Harandi
  Optimizing Over Radial Kernels on Compact Manifolds
  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  Oral presentation, Acceptance rate 5.75%.
  [PDF]     [Bibtex]

  @InProceedings{Jayasumana_CVPR2014,
    author = {Sadeep Jayasumana and Richard Hartley and Mathieu Salzmann and Hongdong Li and Mehrtash Harandi},
    title = {{Optimizing Over Radial Kernels on Compact Manifolds}},
    booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2014},
  }
  



• S. Jayasumana, R. Hartley, M. Salzmann, H. Li, M. Harandi
  Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
  Oral presentation, Acceptance rate 3.2%.
  [PDF]     [Presentation]     [Code]     [Bibtex]

  @InProceedings{Jayasumana_CVPR2013,
    author = {Sadeep Jayasumana and Richard Hartley and Mathieu Salzmann and Hongdong Li and Mehrtash Harandi},
    title = {{Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices}},
    booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2013},
  }
  



• S. Jayasumana, M. Salzmann, H. Li, M. Harandi
  A Framework for Shape Analysis via Hilbert Space Embedding
  In IEEE International Conference on Computer Vision (ICCV), 2013.
  [PDF]     [Bibtex]

  @InProceedings{Jayasumana_ICCV2013,
    author = {Sadeep Jayasumana and Mathieu Salzmann and Hongdong Li and Mehrtash Harandi},
    title = {{A Framework for Shape Analysis via Hilbert Space Embedding}},
    booktitle = {International Conference on Computer Vision (ICCV)},
    year = {2013},
  }
  



• S. Jayasumana, R. Hartley, M. Salzmann, H. Li, M. Harandi
  Combining Multiple Manifold-valued Descriptors for Improved Object Recognition
  In IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013.
  Winner of the Best Recognition Paper prize awarded by Canon Information Systems Research Australia (CiSRA).
  [PDF]     [Bibtex]

  @InProceedings{Jayasumana_DICTA2013,
    author = {Sadeep Jayasumana and Richard Hartley and Mathieu Salzmann and Hongdong Li and Mehrtash Harandi},
    title = {{Combining Multiple Manifold-valued Descriptors for Improved Object Recognition.}},
    booktitle = {International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
    year = {2013},
  }
  



• S. Jayasumana, R. Hartley, M. Salzmann, H. Li, M. Harandi
  Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
  Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).