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) …

Depth completion aims to recover dense depth maps from sparse depth measurements. It is
of increasing importance for autonomous driving and draws increasing attention from the …

The saliency of regions or objects in an image can be significantly boosted if they recur in
multiple images. Leveraging this idea, cosegmentation jointly segments common regions …

Segmenting common objects that have variations in color, texture and shape is a
challenging problem. In this paper, we propose a new model that efficiently segments …

The state-of-the-art interactive image segmentation algorithms are sensitive to the user
inputs and often unable to produce an accurate boundary with a small amount of user …

In this paper, we propose to conduct inpainting and upsampling for defective depth maps
when aligned color images are given. These tasks are referred to as the guided depth …

The problem of segmenting a foreground object out from its complex background is of great
interest in image processing and computer vision. Many interactive segmentation algorithms …

We propose graph-driven approaches to image segmentation by developing diffusion
processes defined on arbitrary graphs. We formulate a solution to the image segmentation …

Seed-based image segmentation methods have gained much attention lately, mainly due to
their good performance in segmenting complex images with little user interaction. Such …

Image retrieval based on deep convolutional features has demonstrated state-of-the-art
performance in popular benchmarks. In this paper, we present a unified solution to address …