Aerial tracking has received growing attention due to its broad practical applications.
However, single-view aerial trackers are still limited by challenges such as severe …

Despite the extensive research on RGBT object tracking, there are still several challenges
and issues in practical applications, such as modality differences, lighting variations and …

In recent years, vision-language tracking has drawn emerging attention in the tracking field.
The critical challenge for the task is to fuse semantic representations of language …

Multi-drone multi-object tracking (MDMOT) aims to localize and identify targets from videos
captured simultaneously by multiple drones. To accomplish this task, existing methods …

With the emergence of new technologies in the field of airborne platforms and imaging
sensors, aerial data analysis is becoming very popular, capitalizing on its advantages over …

Modern perception systems for autonomous flight are sensitive to occlusion and have limited
long-range capability, which is a key bottleneck in improving low-altitude economic task …

In recent years, correlation filter based trackers have shown great potentials in visual
tracking because of their high computational efficiency and low memory consumption …

Although state-of-the-art transformer models have shown promising results in unmanned
aerial vehicle (UAV) tracking, they come with high computational demands. Existing tracking …