Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

Drone deployment has become crucial in a variety of applications, including solutions to
traffic issues in metropolitan areas and highways. On the other hand, data collected via …

Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

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

Real-world data often follow a long-tailed distribution as the frequency of each class is
typically different. For example, a dataset can have a large number of under-represented …

Abstract Drones or general Unmanned Aerial Vehicles (UAVs), endowed with computer
vision function by on-board cameras and embedded systems, have become popular in a …

In recent years, algorithms for multiple object tracking tasks have benefited from great
progresses in deep models and video quality. However, in challenging scenarios like drone …

Today's multi-object tracking approaches benefit greatly from nearly perfect object
detections when following the popular tracking-by-detection scheme. This allows for …

Abstract Objects captured by UAVs and drones in city scenes usually come in various sizes
and are extremely dense. Therefore, we propose a hybrid detector, called RRNet, for object …

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 …