Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …

In this paper, we study the cross-view geo-localization problem to match images from
different viewpoints. The key motivation underpinning this task is to learn a discriminative …

Drone-based vehicle detection aims at detecting vehicle locations and categories in aerial
images. It empowers smart city traffic management and disaster relief. Researchers have …

The development of computer vision algorithms for Unmanned Aerial Vehicles (UAVs)
imagery heavily relies on the availability of annotated high-resolution aerial data. However …

Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

Multi-drone multi-target tracking aims at collabo-ratively detecting and tracking targets
across multiple drones and associating the identities of objects from different drones, which …

Drones have been widely used in a variety of applications, eg, aerial photography and
military security, because of their high maneuverability and broad views compared with fixed …

Accurate self and relative state estimation are the critical preconditions for completing swarm
tasks, eg, collaborative autonomous exploration, target tracking, search and rescue. This …

In long-term video object tracking (VOT) tasks, most long-term trackers are modified from
short-term trackers, which contain more and more machine learning modules to improve …

Despite the commercial abundance of UAVs aerial data acquisition remains challenging
and the existing Asia and North America-centric open-source UAV datasets are small-scale …