Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Superparsing: Scalable nonparametric image parsing with superpixels
Joseph Tighe,
Svetlana Lazebnik
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Superparsing: Scalable nonparametric image parsing with superpixels'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Nonparametric
100%
Image Parsing
100%
Superpixel
100%
Image Region
66%
Training Set
33%
Tree Construction
33%
Markov Random Field
33%
Neighborhood Context
33%
Video Data
33%
Non-parametric Approach
33%
Nonparametric Methods
33%
Per-pixel
33%
Video Sequences
33%
Global Scene
33%
Image Labeling
33%
New Benchmark
33%
Semantic Classes
33%
Markov Random Field Optimization
33%
Lazy Learning
33%
Bottom-up Segmentation
33%
SIFT Flow
33%
Computer Science
Parsing
100%
Superpixel
100%
Large Data Set
33%
Nonparametric Method
33%
Video Sequences
33%
Scale-Invariant Feature Transform
33%