Image segmentation is one of the most basic tasks in computer vision and remains an initial
step of many applications. In this paper, we focus on interactive image segmentation (IIS) …

The existing binary foreground map (FM) measures to address various types of errors in
either pixel-wise or structural ways. These measures consider pixel-level match or image …

The output of many algorithms in computer-vision is either non-binary maps or binary maps
(eg, salient object detection and object segmentation). Several measures have been …

Manually annotating object bounding boxes is central to building computer vision datasets,
and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

The problem of efficient, interactive foreground/background segmentation in still images is of
great practical importance in image editing. Classical image segmentation tools use either …

A novel method is proposed for performing multilabel, interactive image segmentation.
Given a small number of pixels with user-defined (or predefined) labels, one can analytically …

In this paper, we study the salient object detection problem for images. We formulate this
problem as a binary labeling task where we separate the salient object from the background …

Combinatorial graph cut algorithms have been successfully applied to a wide range of
problems in vision and graphics. This paper focusses on possibly the simplest application of …

Co-saliency is used to discover the common saliency on the multiple images, which is a
relatively underexplored area. In this paper, we introduce a new cluster-based algorithm for …