Siamese approaches address the visual tracking problem by extracting an appearance
template from the current frame, which is used to localize the target in the next frame. In …

Discriminative correlation filters (DCF) with deep convolutional features have achieved
favorable performance in recent tracking benchmarks. However, most of existing DCF …

The usage of both off-the-shelf and end-to-end trained deep networks have significantly
improved the performance of visual tracking on RGB videos. However, the lack of large …

In this paper, we propose an end-to-end framework to learn the convolutional features and
perform the tracking process simultaneously, namely, a unified convolutional tracker (UCT) …

Emotions play a key role in human communication and public presentations. Human
emotions are usually expressed through multiple modalities. Therefore, exploring …

With the booming of streaming media platforms, viewers now get used to watching dramas
and movies via online platforms with more intelligent services. Usually, character …

Video data refers to digital information in the form of a series of frames or images
representing continuous motion captured by a video recording device. In various domains …

Cable (TV) news reaches millions of US households each day. News stakeholders such as
communications researchers, journalists, and media monitoring organizations are interested …

We target urban scenarios where vehicular users can download large files from road-side
access points (APs), and define a framework to exploit opportunistic encounters between …

Analyzing the appearances of political figures in large-scale news archives is increasingly
important with the growing availability of large-scale news archives and developments in …