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