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ICCV
2007
IEEE
14 years 10 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ICCV
2005
IEEE
14 years 2 months ago
An Integrated Framework for Image Segmentation and Perceptual Grouping
This paper presents an efficient algorithm for image segmentation and a framework for perceptual grouping. It makes an attempt to provide one way of combining bottomup and top-do...
Zhuowen Tu
ICDAR
2009
IEEE
13 years 6 months ago
A Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering fro
A novel method for the segmentation of double-sided ancient document images suffering from bleed-through effect is presented. It takes advantage of the level set framework to prov...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
ECCV
2002
Springer
14 years 10 months ago
Diffuse-Specular Separation and Depth Recovery from Image Sequences
Specular reflections present difficulties for many areas of computer vision such as stereo and segmentation. To separate specular and diffuse reflection components, previous approa...
Stephen Lin, Yuanzhen Li, Sing Bing Kang, Xin Tong...
CVPR
2004
IEEE
14 years 10 months ago
Dynamic Geodesic Snakes for Visual Tracking
Visual tracking using active contours is usually accomplished in a static framework. The active contour tracks the object of interest in a given frame of an image sequence, and th...
Marc Niethammer, Allen Tannenbaum