The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

This study proposes a novel unified and unsupervised end-to-end image fusion network,
termed as U2Fusion, which is capable of solving different fusion problems, including multi …

Variation of scales or aspect ratios has been one of the main challenges for tracking. To
overcome this challenge, most existing methods adopt either multi-scale search or anchor …

In recent years, Siamese network based trackers have significantly advanced the state-of-
the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high …

Albeit great success has been achieved in image defocus blur detection, there are still
several unsolved challenges, eg, interference of background clutter, scale sensitivity and …

Recent advancements in the field of visual tracking have been propelled by the
amalgamation of Siamese networks and region proposal networks, which have …

In this paper, we consider the task of natural language video localization (NLVL): given an
untrimmed video and a natural language description, the goal is to localize a segment in the …

Defocus blur detection aims to detect out-of-focus regions from an image. Although attracting
more and more attention due to its widespread applications, defocus blur detection still …

Due to the remarkable potential applications, defocus blur detection, which aims to separate
blurry regions from an image, has attracted much attention. Although significant progress …

Convolutional neural networks (CNNs) have achieved great success in several face-related
tasks, such as face detection, alignment and recognition. As a fundamental problem in …