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Showing posts with the label CVPR

CVML 2011 Posters

There were many posters on the CVML summer school and I won't talk about all of them. Actually 8 of them got prizes (in form of hand-signed CV and ML books). I knew some of the work form NIPS2010 but there were some things that were new to me: Alexander Vezhnevets presented work on Multi Image Model for Semantic Segmentation with Different Levels of Supervision. I don't know how I could miss that before. This is amazing work on weakly supervised semantic scene segmentation on MSRC. It makes use of CRFs, boosted texton forests and superpixels. The CRF does not only connect neighbouring superpixels but also superpixels in different images that look similar. Super pixel labels are treated as latent variables and only a very simple contraint between image label and superpixel label is enforced. Since I am looking at a very similar task at the moment, even though the other posters were very good, this one was definitely the best for me. Yang Hua presented work on Contextual...