Exciting Computer Vision papers from Kristen Grauman's UT-Austin Group

Back in 2005, I remember meeting Kristen Grauman at MIT's accepted PhD student open house.  Back then she was a PhD student under Trevor Darrell (and is known for her work on the Pyramid Match Kernel), but now she has her own vision group at UT-Austin.  She is the the advisor behind many cool vision projects there, and here are a few segmenatation/categorization related papers from the upcoming CVPR2010 conference.  I look forward to checking out these papers because they are relevant to my own research interests.  NOTE: some of the papers links are still not up -- I just used the links from Kristen's webpage.

Object-Graphs for Context-Aware Category Discovery. Y. J. Lee and K. Grauman

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Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images. Y. J. Lee and K. Grauman

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Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories. J. Kim and K. Grauman