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» Statistical Models of Appearance for Computer Vision
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80
Voted
CVPR
2010
IEEE
15 years 3 months ago
Attribute-centric recognition for cross-category generalization
We propose an approach to find and describe objects within broad domains. We introduce a new dataset that provides annotation for sharing models of appearance and correlation acr...
Ali Farhadi, Ian Endres, Derek Hoiem
ECCV
2004
Springer
16 years 5 months ago
Tracking Aspects of the Foreground against the Background
In object tracking, change of object aspect is a cause of failure due to significant changes of object appearances. The paper proposes an approach to this problem without a priori ...
Hieu Tat Nguyen, Arnold W. M. Smeulders
CVPR
2007
IEEE
16 years 5 months ago
3D LayoutCRF for Multi-View Object Class Recognition and Segmentation
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...
Derek Hoiem, Carsten Rother, John M. Winn
231
Voted
CVPR
2010
IEEE
15 years 11 months ago
Single Image Depth Estimation From Predicted Semantic Labels
We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearanc...
Beyang Liu, Stephen Gould, Daphne Koller
ECCV
2002
Springer
16 years 5 months ago
Probabilistic Search for Object Segmentation and Recognition
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
Ulrich Hillenbrand, Gerd Hirzinger