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CVPR
2009
IEEE
16 years 10 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
CAV
2010
Springer
214views Hardware» more  CAV 2010»
15 years 7 months ago
Learning Component Interfaces with May and Must Abstractions
elor Thesis: Demand Driven Abstraction Refinement • Advisor: Dr. Andrey Rybalchenko Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, ...
Rishabh Singh, Dimitra Giannakopoulou, Corina S. P...
WCE
2007
15 years 4 months ago
Feature Reconstruction for Face Recognition Based on Sample Image Learning
—Pose problem is a big challenge for applying face recognition technology under real world conditions. In this paper, appearance based approach was proposed to recognize face acr...
Hongzhou Zhang, Yongping Li, Lin Wang, Chengbo Wan...
CVPR
2008
IEEE
16 years 5 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
121
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ISVC
2009
Springer
15 years 9 months ago
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel