11 citations · 26 across the 6 of their papers we have counts for
6 papers
Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention
Guangze Zheng, Changhong Fu, Junjie Ye +3
Although the manipulating of the unmanned aerial manipulator (UAM) has been widely studied, vision-based UAM approaching, which is crucial to the subsequent manipulating, generally…
HiFT: Hierarchical Feature Transformer for Aerial Tracking
Ziang Cao, Changhong Fu, Junjie Ye +2
Most existing Siamese-based tracking methods execute the classification and regression of the target object based on the similarity maps. However, they either employ a single map f…
SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
Ziang Cao, Changhong Fu, Junjie Ye +2
Recently, the Siamese-based method has stood out from multitudinous tracking methods owing to its state-of-the-art (SOTA) performance. Nevertheless, due to various special challeng…
ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
Bowen Li, Changhong Fu, Fangqiang Ding +2
Prior correlation filter (CF)-based tracking methods for unmanned aerial vehicles (UAVs) have virtually focused on tracking in the daytime. However, when the night falls, the track…
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning
Jayson Boubin, Codi Burley, Peida Han +3
Autonomous systems (AS) carry out complex missions by continuously observing the state of their surroundings and taking actions toward a goal. Swarms of AS working together can com…
All-Day Object Tracking for Unmanned Aerial Vehicle
Bowen Li, Changhong Fu, Fangqiang Ding +2
Visual object tracking, which is representing a major interest in image processing field, has facilitated numerous real world applications. Among them, equipping unmanned aerial ve…