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» Object Detection Using Multi-local Feature Manifolds
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IJCV
2007
196views more  IJCV 2007»
13 years 8 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
CVPR
2009
IEEE
15 years 3 months ago
Convexity and Bayesian Constrained Local Models
The accurate localization of facial features plays a fundamental role in any face recognition pipeline. Constrained local models (CLM) provide an effective approach to localizati...
Ulrich Paquet (Imense Ltd)
VIS
2008
IEEE
120views Visualization» more  VIS 2008»
14 years 10 months ago
Size-based Transfer Functions: A New Volume Exploration Technique
The visualization of complex 3D images remains a challenge, a fact that is magnified by the difficulty to classify or segment volume data. In this paper, we introduce size-based tr...
Carlos D. Correa, Kwan-Liu Ma
WACV
2008
IEEE
14 years 3 months ago
Tracking Down Under: Following the Satin Bowerbird
Sociobiologists collect huge volumes of video to study animal behavior (our collaborators work with 30,000 hours of video). The scale of these datasets demands the development of ...
Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, D...
EVOW
2007
Springer
14 years 19 days ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague