Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

As one of the fundamental problems in the field of video understanding, video object
segmentation aims at segmenting objects of interest throughout the given video sequence …

The use of RGB-D information for salient object detection (SOD) has been extensively
explored in recent years. However, relatively few efforts have been put toward modeling …

Video segmentation—partitioning video frames into multiple segments or objects—plays a
critical role in a broad range of practical applications, from enhancing visual effects in movie …

Over the years, datasets and benchmarks have proven their fundamental importance in
computer vision research, enabling targeted progress and objective comparisons in many …

We present an efficient method for the semi-supervised video object segmentation. Our
method achieves accuracy competitive with state-of-the-art methods while running in a …

Inspired by recent advances of deep learning in instance segmentation and object tracking,
we introduce the concept of convnet-based guidance applied to video object segmentation …

The visual saliency detection model simulates the human visual system to perceive the
scene and has been widely used in many vision tasks. With the development of acquisition …

Video object segmentation is challenging yet important in a wide variety of applications for
video analysis. Recent works formulate video object segmentation as a prediction task using …

We introduce an unsupervised, geodesic distance based, salient video object segmentation
method. Unlike traditional methods, our method incorporates saliency as prior for object via …