The correlation clustering problem identifies clusters in a set of objects when the qualitative
information about objects' mutual similarities or dissimilarities is given in a signed network …

In this paper, a hypergraph-based image segmentation framework is formulated in a
supervised manner for many high-level computer vision tasks. To consider short-and long …

Video segmentation has become an important and active research area with a large
diversity of proposed approaches. Graph-based methods, enabling topperformance on …

This paper proposes an affinity fusion graph framework to effectively connect different
graphs with highly discriminating power and nonlinearity for natural image segmentation …

Segmentation of handwritten document images into text-lines and words is an essential task
for optical character recognition. However, since the features of handwritten document are …

Recently, unsupervised image segmentation has become increasingly popular. Starting
from a superpixel segmentation, an edge-weighted region adjacency graph is constructed …

Multicuts enable to conveniently represent discrete graphical models for unsupervised and
supervised image segmentation, in the case of local energy functions that exhibit …

We consider unsupervised partitioning problems based explicitly or implicitly on the
minimization of Euclidean distortions, such as clustering, image or video segmentation, and …

Pothole avoidance may be considered similar to other obstacle avoidance, except that the
potholes are depressions rather than extrusions from a surface. This study discusses a …

State-of-the-art image classification methods often use spatial pyramid matching or its
variants to make use of the spatial layout of visual features. However, objects may appear at …