Best Papers
CSC 295 Computer Vision Spring 2010

Introduction

We will read and discuss in class one or two of the best papers from the most recent top vision conferences. In this way, we'll be learning together:

Candidates

Our candidates (listed in no particular order) are drawn from CVPR 2009, ECCV 2008, and ICCV 2007. See the list of papers below and read their abstracts.
  1. Single Image Haze Removal Using Dark Channel Prior, by Kaiming He, Jian Sun, and Xiaoou Tang (CVPR '09 Best paper).
  2. Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment, by Ce Liu, Jenny Yuen, Antonio Torralba (CVPR '09 Best Student Paper)
  3. Learning Spatial Context: Using Stuff to Find Things, by Geremy Heitz and Daphne Koller. (ECCV '8 Best Paper)
  4. Learning to Localize Objects with Structured Output Regression, by Matthew B. Blaschko and Christoph H. Lampert. (ECCV '08 Best Student Paper)
  5. Discriminative Models for Multi-class Object Layout by Chaitanya Desai, Deva Ramanan and Charless Fowlkes: (ICCV '09 Best Paper)

Voting

Please vote by emailing your RANKED TOP THREE choices (by paper number above) a to the instructor by May 5.

Responses

You will be required to submit an approximately one-page response to the paper before class to help prepare you for the discussion. In particular, you should note:

You should include at least two primary points that critique, dispute, extend, or reinforce the paper. Submit your responses (in plaintext or PDF only) via P-Web; they are due at the beginnning of class.

Jerod Weinman
Created 20 June 2008
Revised 1 December 2008 Revised 28 April 2010