Publications (47)
Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters
Yujie He, Changhong Fu, Fuling Lin +2
Object tracking has been broadly applied in unmanned aerial vehicle (UAV) tasks in recent years. However, existing algorithms still face difficulties such as partial occlusion, clu…
AnyTSR: Any-Scale Thermal Super-Resolution for UAV
Mengyuan Li, Changhong Fu, Ziyu Lu +3
Thermal imaging can greatly enhance the application of intelligent unmanned aerial vehicles (UAV) in challenging environments. However, the inherent low resolution of thermal senso…
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization
Yiming Li, Changhong Fu, Fangqiang Ding +2
Most existing trackers based on discriminative correlation filters (DCF) try to introduce predefined regularization term to improve the learning of target objects, e.g., by suppres…
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
Changhong Fu, Liangliang Yao, Haobo Zuo +2
Domain adaptation (DA) has demonstrated significant promise for real-time nighttime unmanned aerial vehicle (UAV) tracking. However, the state-of-the-art (SOTA) DA still lacks the…
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…
EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring
Changhong Fu, Hua Lin, Haobo Zuo +2
Text spotting for industrial panels is a key task for intelligent monitoring. However, achieving efficient and accurate text spotting for complex industrial panels remains challeng…