The rapid development and widespread application of Unmanned Aerial Vehicles (UAV)
have raised significant concerns about safety and privacy, thus requiring powerful anti-UAV …

Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …

Thermal infrared (TIR) target tracking is susceptible to occlusion and similarity interference,
which obviously affects the tracking results. To resolve this problem, we develop an Aligned …

When dealing with complex thermal infrared (TIR) tracking scenarios, the single category
feature is not sufficient to portray the appearance of the target, which drastically affects the …

Semantic segmentation models gain robustness against adverse illumination conditions by
taking advantage of complementary information from visible and thermal infrared (RGB-T) …

Unmanned Aerial Vehicles (UAV) have many applications in both commerce and recreation.
However, irresponsibly operated UAVs will pose a threat to public safety. Therefore …

Unlike visual object tracking, thermal infrared (TIR) object tracking methods can track the
target of interest in poor visibility such as rain, snow, and fog, or even in total darkness. This …

The perception of drones, also known as Unmanned Aerial Vehicles (UAVs), particularly in
infrared videos, is crucial for effective anti-UAV tasks. However, existing datasets for UAV …

Thermal InfraRed (TIR) target trackers are easy to be interfered by similar objects, while
susceptible to the influence of the target occlusion. To solve these problems, we propose a …

Unmanned aerial vehicles (UAVs) have been popular in many commercial and industrial
applications, but they also pose great threats to urban safety and aerial security. Intelligent …