Image segmentation refers to the process to divide an image into meaningful non-
overlap** regions according to human perception, which has become a classic topic since …

We propose StyleBank, which is composed of multiple convolution filter banks and each
filter bank explicitly represents one style, for neural image style transfer. To transfer an …

Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

We propose a novel approach for solving the perceptual grou** problem in vision. Rather
than focusing on local features and their consistencies in the image data, our approach aims …

Local image features or interest points provide compact and abstract representations of
patterns in an image. In this paper, we extend the notion of spatial interest points into the …

This paper describes a new framework for processing images by example, called" image
analogies." based on scanned real-world examples; and texture-by-numbers, in which …

In this survey, we give an overview of invariant interest point detectors, how they evolved
over time, how they work, and what their respective strengths and weaknesses are. We …

We study the recognition of surfaces made from different materials such as concrete, rug,
marble, or leather on the basis of their textural appearance. Such natural textures arise from …

We present an approach for measuring similarity between visual entities (images or videos)
based on matching internal self-similarities. What is correlated across images (or across …

This paper provides an algorithm for partitioning grayscale images into disjoint regions of
coherent brightness and texture. Natural images contain both textured and untextured …