4 citations · 17 across the 7 of their papers we have counts for
8 papers
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking
Changhong Fu, Sihang Li, Xinnan Yuan +3
Visual tracking is adopted to extensive unmanned aerial vehicle (UAV)-related applications, which leads to a highly demanding requirement on the robustness of UAV trackers. However…
Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label
Guangze Zheng, Changhong Fu, Junjie Ye +2
Unmanned aerial vehicle (UAV) based visual tracking has been confronted with numerous challenges, e.g., object motion and occlusion. These challenges generally introduce unexpected…
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…
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…
Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization
Fangqiang Ding, Changhong Fu, Yiming Li +2
Current unmanned aerial vehicle (UAV) visual tracking algorithms are primarily limited with respect to: (i) the kind of size variation they can deal with, (ii) the implementation s…
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
Changhong Fu, Fangqiang Ding, Yiming Li +2
Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally d…