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CVPR
2009
IEEE
17 years 2 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
CVPR
2009
IEEE
1433views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Digital Face Makeup by Example
This paper introduces an approach of creating face makeup upon a face image with another image as the style example. Our approach is analogous to physical makeup, as we modify the ...
Dong Guo (National University of Singapore), Teren...
CVPR
2009
IEEE
17 years 1 months ago
Learning from Ambiguously Labeled Images
In many image and video collections, we have access only to partially labeled data. For example, personal photo collections often contain several faces per image and a caption t...
Benjamin Sapp, Benjamin Taskar, Chris Jordan, Timo...
CVPR
2009
IEEE
17 years 1 months ago
Building text features for object image classification
We introduce a text-based image feature and demon- strate that it consistently improves performance on hard object classification problems. The feature is built using an auxilia...
David A. Forsyth, Derek Hoiem, Gang Wang
CVPR
2009
IEEE
17 years 1 months ago
Beyond Pairwise Energies: Efficient Optimization for Higher-order MRFs
In this paper, we introduce a higher-order MRF optimization framework. On the one hand, it is very general; we thus use it to derive a generic optimizer that can be applied to a...
Nikos Komodakis (University of Crete), Nikos Parag...
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