Course Presentation

CS 534 Computer Vision, Spring 2012

Prepare

1 Get in groups of 1 to 2 classmates

2 Pick an article to present: from the list below or from your own search

3 Prepare a 30-min group presentation: every group member should talk

Articles

Use one of these below, or find your own.

Suggestions of places to look for: (preferably 2010, 2011, 2012)

  • Parsing Natural Scenes and Natural Language with Recursive Neural NetworkS, ICML 2011 (Timothy Shields & Nir Grinberg) external link: slides
  • Iterative quantization: A procrustean approach to learning binary codes, Yunchao Gong and Svetlana Lazebnik, CVPR2011. (Xin Lian)
  • Online learning of robust object detectors during unstable tracking, Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk, 3rd On-line Learning for Computer Vision Workshop 2009, Kyoto, Japan.(Brian McMahan)
  • A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes, Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe, CVPR2011 (Joseph Chao & Chia-Min Cheng)
  • Coded Exposure Photography: Motion Deblurring using Fluttered Shutter, Ramesh Raskar, Amit Agrawal, and Jack Tumblin, ACM SIGGRAPH 2006 (Sashidhar Guntury)
  • The Truth about Cats and Dogs, Omkar M Parkhi, Andrea Vedaldi, C. V. Jawahar, Andrew Zisserman, ICCV 2011 (Bo Liu & Ruoyuan Gao )