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» Improved Diffuse Reflection Models for Computer Vision
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CVPR
2009
IEEE
15 years 4 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...
CVPR
2008
IEEE
15 years 12 months ago
Estimating age, gender, and identity using first name priors
Recognizing people in images is one of the foremost challenges in computer vision. It is important to remember that consumer photography has a highly social aspect. The photograph...
Andrew C. Gallagher, Tsuhan Chen
ICCV
2003
IEEE
15 years 11 months ago
A New Perspective [on] Shape-from-Shading
Shape-from-Shading (SfS) is a fundamental problem in Computer Vision. The vast majority of research in this field have assumed orthography as its projection model. This paper re-e...
Ariel Tankus, Nir A. Sochen, Yehezkel Yeshurun
CVPR
2009
IEEE
16 years 5 months ago
A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields
Much research effort on Automatic Image Annotation (AIA) has been focused on Generative Model, due to its well formed theory and competitive performance as compared with many we...
Yu Xiang (Fudan University), Xiangdong Zhou (Fudan...
ECCV
2006
Springer
15 years 11 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher