We study the problem of photo crop**, which aims to find a crop** window of an input
image to preserve as much as possible its important parts while being aesthetically …

How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …

Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …

In this paper, we tackle the challenging task of unsupervised salient object detection (SOD)
by leveraging spectral clustering on self-supervised features. We make the following …

Existing saliency detection approaches use images as inputs and are sensitive to
foreground/background similarities, complex background textures, and occlusions. We …

We propose a new type of saliency—context-aware saliency—which aims at detecting the
image regions that represent the scene. This definition differs from previous definitions …

Visual saliency analysis detects salient regions/objects that attract human attention in
natural scenes. It has attracted intensive research in different fields such as computer vision …

Abstract Content-Aware Image Retargeting (CAIR) techniques are important in multimedia
applications for displaying images on various display devices. This paper first provides a …

Effective resizing of images should not only use geometric constraints, but consider the
image content as well. We present a simple image operator called seam carving that …

Research over the last decade has built a solid mathematical foundation for representation
and analysis of 3D meshes in graphics and geometric modeling. Much of this work however …