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honggangProfessor, Associate
Carnegie Mellon University
honggang

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lianwenProfessor
Souch China University of Technology
lianwen
Lianwen Jin received a BS degree from the University of Science and Technology of China and a Ph.D. degree from South China University of Technology in 1991 and 1996, respectively....

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GuibinStudent, Msc
South China University Of Technology
Guibin

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kunliuStudent, PhD
INRIA
kunliu
CVPR
2010
IEEE
14 years 4 months ago
Towards Internet-scale Multi-view Stereo
This paper introduces an approach for enabling existing multi-view stereo methods to operate on extremely large unstructured photo collections. The main idea is to decompose the c...
Yasutaka Furukawa, Steve Seitz, Richard Szeliski
CVPR
2010
IEEE
14 years 4 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
CVPR
2010
IEEE
14 years 4 months ago
Personalization of Image Enhancement
We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
Sing Bing Kang, Ashish Kapoor, Dani Lischinski
CVPR
2010
IEEE
1778views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Detecting Text in Natural Scenes with Stroke Width Transform
We present a novel image operator that seeks to find the value of stroke width for each image pixel, and demonstrate its use on the task of text detection in natural images. The s...
Boris Epshtein, Eyal Ofek, Yonatan Wexler
CVPR
2010
IEEE
14 years 4 months ago
Automatic Image Annotation Using Group Sparsity
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have...
Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Y...
CVPR
2010
IEEE
14 years 4 months ago
Parametric Dimensionality Reduction by Unsupervised Regression
We introduce a parametric version (pDRUR) of the recently proposed Dimensionality Reduction by Unsupervised Regression algorithm. pDRUR alternately minimizes reconstruction error ...
Miguel Carreira-perpinan, Zhengdong Lu