Sciweavers

180 search results - page 29 / 36
» Learning to segment from a few well-selected training images
Sort
View
ICMCS
2005
IEEE
103views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Neighborhood issue in single-frame image super-resolution
Super-Resolution is the problem of generating one or a set of high-resolution images from one or a sequence of lowresolution frames. Most methods have been proposed for super-reso...
K. Su, Qi Tian, Qing Xue, Nicu Sebe, Jingsheng Ma
ECCV
2006
Springer
14 years 10 months ago
Figure/Ground Assignment in Natural Images
Abstract. Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and all...
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
CVPR
2012
IEEE
11 years 11 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ICCV
2007
IEEE
14 years 10 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
NECO
2007
127views more  NECO 2007»
13 years 8 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado