ICCV
2011
IEEE
13 years 13 days ago
2011
IEEE
Object recoloring is one of the most popular photoediting tasks. The problem of object recoloring is highly under-constrained, and existing recoloring methods limit their applicat...
ICCV
2011
IEEE
13 years 13 days ago
2011
IEEE
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
GBRPR
2011
Springer
13 years 3 months ago
2011
Springer
Convexity represents an important principle of grouping in visual perceptual organization. This paper presents a new technique for contour grouping based on convexity and has the f...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
Statistics of ‘natural images’ provides useful priors for solving under-constrained problems in Computer Vision. Such statistics is usually obtained from large collections of ...
CVPR
2011
IEEE
13 years 9 months ago
2011
IEEE
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
BMVC
2010
13 years 10 months ago
2010
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
TIP
2010
13 years 10 months ago
2010
—Compound images are a combination of text, graphics and natural image. They present strong anisotropic features, especially on the text and graphics parts. These anisotropic fea...
PAMI
2007
13 years 12 months ago
2007
—We propose to model the statistics of natural images, thanks to the large class of stochastic processes called Infinitely Divisible Cascades (IDCs). IDCs were first introduced i...
TIP
2002
14 years 2 days ago
2002
Real world images are complex objects, difficult to describe but at the same time possessing a high degree of redundancy. A very recent study [1] on the statistical properties of n...
IVC
2007
14 years 10 days ago
2007
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...