Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of
applications and attracted increasing attention in the field of artificial intelligence (AI) …

Transformer has shown excellent performance in remote sensing field with long-range
modeling capabilities. Remote sensing video (RSV) moving object detection and tracking …

Object detection is a fundamental task in remote sensing image analysis and scene
understanding. Previous remote sensing object detectors are typically based on …

Visual tracking has made significant improvements in the past few decades. Most existing
state-of-the-art trackers 1) merely aim for performance in ideal conditions while overlooking …

Online contextual reasoning and association across consecutive video frames are critical to
perceive instances in visual tracking. However, most current top-performing trackers …

Tracking moving targets in satellite videos has attracted wide attention recently. However,
the development of target tracking in satellite videos is much slower than that in general …

While discriminative correlation filters (DCF)-based trackers prevail in UAV tracking for their
favorable efficiency, lightweight convolutional neural network (CNN)-based trackers using …

In recent years, the field of unmanned aerial vehicle (UAV) tracking has grown rapidly,
finding numerous applications across various industries. While the discriminative correlation …

Creating diverse and high-quality 3D assets with an automatic generative model is highly
desirable. Despite extensive efforts on 3D generation, most existing works focus on the …

Aerial object tracking has recently shown great potential in the field of remote sensing.
However, small objects with limited feature information pose a huge challenge to aerial …