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ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
ICASSP
2011
IEEE
12 years 8 months ago
Superpixel-based object class segmentation using conditional random fields
Object class segmentation (OCS) is a key issue in semantic scene labeling and understanding. Its general principle consists of naming object entities into scenes according to thei...
Xi Li, Hichem Sahbi
ECCV
2010
Springer
13 years 9 months ago
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...

Source Code
445views
14 years 5 months ago
Blocks
Blocks is an open source modular MATLAB framework which allows the user to avoid needlessly repeating computation. Blocks may be easily used for your own experiments, and comes ...
Brian Fulkerson, Andrea Vedaldi
IJCV
2008
266views more  IJCV 2008»
13 years 4 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...