Image instance segmentation involves labeling pixels of images with classes and instances,
which is one of the pivotal technologies in many domains, such as natural scenes …

The demand for various multimedia applications is rapidly increasing due to the recent
advance in the computing and network infrastructure, together with the widespread use of …

Abstract Video-Language Pretraining (VLP), which aims to learn transferable representation
to advance a wide range of video-text downstream tasks, has recently received increasing …

As an essential problem in computer vision, salient object detection (SOD) has attracted an
increasing amount of research attention over the years. Recent advances in SOD are …

Low-level saliency cues or priors do not produce good enough saliency detection results
especially when the salient object presents in a low-contrast background with confusing …

Salient object detection has recently witnessed substantial progress due to powerful
features extracted using deep convolutional neural networks (CNNs). However, existing …

We propose a novel supervised learning technique for summarizing videos by automatically
selecting keyframes or key subshots. Casting the task as a structured prediction problem …

Video summarization is a challenging problem in part because knowing which part of a
video is important requires prior knowledge about its main topic. We present TVSum, an …

Visual attention analysis provides an alternative methodology to semantic image
understanding in many applications such as adaptive content delivery and region-based …

This paper addresses the problem of supervised video summarization by formulating it as a
sequence-to-sequence learning problem, where the input is a sequence of original video …