Vibhav Vineet
Second year Ph.D. student in Brookes Vision Group
at Oxford Brookes University
vibhav.vineet-2010@brookes.ac.uk

I spend time developing efficient optimization methods for learning and inference in probabilistic graphical models, which are useful to large scale computer vision problems.
I am supervised by Phil Torr.

Papers

  1. Vibhav Vineet, Jonathan Warrell, Philip H.S. Torr
    Tiered Move Making Algorithm for General Pairwise MRFs
    CVPR 2012, [pdf]

  2. Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H.S. Torr
    Learning and Inference for General Non-submodular Pairwise Energies
    Rank Prize Symposium 2012, [pdf]

  3. Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H.S. Torr
    Human Instance Segmentation from Video using Detector-based Conditional Random Fields
    BMVC-2011, [pdf]  

Talks

  1. Learning and Inference for General Non-submodular Pairwise Energies
    Rank Prize Symposium 2012, [pdf]


Links:    VGG-RG | Brookes-RG | Blog