Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

With the recent renaissance of deep convolutional neural networks (CNNs), encouraging
breakthroughs have been achieved on the supervised recognition tasks, where each class …

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 …

This paper proposes a novel approach and a new benchmark for video summarization.
Thereby we focus on user videos, which are raw videos containing a set of interesting …

We present a novel method for summarizing raw, casually captured videos. The objective is
to create a short summary that still conveys the story. It should thus be both, interesting and …

The style of an image plays a significant role in how it is viewed, but style has received little
attention in computer vision research. We describe an approach to predicting style of …

Hundreds of thousands of photographs are uploaded to the internet every minute through
various social networking and photo sharing platforms. While some images get millions of …

The massive amount of video data produced by surveillance networks in industries instigate
various challenges in exploring these videos for many applications, such as video …

We present a mobile vision system for multi-person tracking in busy environments.
Specifically, the system integrates continuous visual odometry computation with tracking-by …

In this paper, we analyze the fashion of clothing of a large social website. Our goal is to learn
and predict how fashionable a person looks on a photograph and suggest subtle …