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ProfJasonCorso

  1. Fix to our CVPR 2012 Action Bank paper now posted (fixed some erroneous results on HMDB51 and UCF50): goo.gl/mtSGu #news
  2. Action Bank v1.0 software and data now publicly available: goo.gl/sQD3G direct code link: goo.gl/lHMsw #news
  3. 2 papers accepted at ECDM 2012. 1 on max-margin metric learning and 1 on spectral active clustering. #news
  4. Our KDD 2012 paper on Random Forest Distance for metric learning is available: goo.gl/V2pVg #news
  5. Our AMDO 2012 paper on dynamic human pose for activity recognition is available: goo.gl/udHXB #news
  6. Our ICIP 2012 paper on dictionary transfer for image denoising is available: goo.gl/9HH7s #news
  7. Our RSS 2012 paper on estimating human dynamics from monocular video is available: goo.gl/HLdd9 #news
  8. I will be an Area Chair for CVPR 2013. #news
  9. LIBSVX v1.0 Released. A Supervoxel Library and Benchmark for Early Video Processing. See goo.gl/ou03e #news
  10. #news 5 new accepted papers: 1 KDD (metric learning), 1 ICIP (domain transfer), 1 RSS (human pose), 1 AMDO, 1 ISVC. Details to follow.
  11. #news New video of our work in modeling and localizing stairways for multi-floor exploration by autonomous robots. youtu.be/fGkA7srkgs8
  12. Article on a full-scene parts-based model/algorithm accepted at PRL SI on Scene Understanding. Preprint: goo.gl/Xy3f4 #news
  13. CVPR2012 camera ready papers available: action bank goo.gl/mtSGu and supervoxels goo.gl/pgqj1 (code/data coming soon) #news
  14. #news Two papers accepted at CVPR. cse.buffalo.edu/~jcorso/pubs/i…
  15. #news Release of our Python-based Video IO/processing library: nD-vision. launchpad.net/ndvision Checkout with: bzr branch lp:ndvision
  16. New tech-report on some work in high-level scene understanding with a parts-based model. goo.gl/mUupD arxiv.org/abs/1108.4079 #news
  17. My poster "Layered Models for Bridging from Low to High Level Vision" for the Frontiers in CV Workshop available: goo.gl/Hs99k #news
  18. New tech report on some work using ideas from dynamical systems to extract features for face detection: arxiv.org/abs/1108.3525 #news
  19. #news Some local news coverage on our DURIP grant. goo.gl/zEF8m
  20. @Dariolakis Ah, thanks! Indeed many of the ideas in that work build off of what we did back then!