Salient object detection from RGB-D images aims to utilize both the depth view and RGB
view to automatically localize objects of human interest in the scene. Although a few earlier …

In this paper, we propose a unified co-salient object detection framework by introducing two
novel insights:(1) looking deep to transfer higher-level representations by using the …

Object localization and segmentation in weakly labeled videos are two interesting yet
challenging tasks. Models built for simultaneous object localization and segmentation have …

Deep CNNs have achieved superior performance in many tasks of computer vision and
image understanding. However, it is still difficult to effectively apply deep CNNs to video …

We present a semi-supervised approach that localizes multiple unknown object instances in
long videos. We start with a handful of labeled boxes and iteratively learn and label …

With the goal of effectively identifying common and salient objects in a group of relevant
images, co-saliency detection has become essential for many applications such as video …

We present a spatio-temporal energy minimization formulation for simultaneous video object
discovery and co-segmentation across multiple videos containing irrelevant frames. Our …

We present a novel computational model for simultaneous image co-saliency detection and
co-segmentation that concurrently explores the concepts of saliency and objectness in …

We introduce the term video co-saliency to denote the task of extracting the common
noticeable, or salient, regions from multiple relevant videos. The proposed video co-saliency …

We present a video co-segmentation method that uses category-independent object
proposals as its basic element and can extract multiple foreground objects in a video set …