2 citations · 2 across the 5 of their papers we have counts for
5 papers
DaDiff: Domain-aware Diffusion Model for Nighttime UAV Tracking
Haobo Zuo, Changhong Fu, Guangze Zheng +3
Domain adaptation is an inspiring solution to the misalignment issue of day/night image features for nighttime UAV tracking. However, the one-step adaptation paradigm is inadequate…
Conditional Generative Denoiser for Nighttime UAV Tracking
Yucheng Wang, Changhong Fu, Kunhan Lu +2
State-of-the-art (SOTA) visual object tracking methods have significantly enhanced the autonomy of unmanned aerial vehicles (UAVs). However, in low-light conditions, the presence o…
Enhancing Nighttime UAV Tracking with Light Distribution Suppression
Liangliang Yao, Changhong Fu, Yiheng Wang +2
Visual object tracking has boosted extensive intelligent applications for unmanned aerial vehicles (UAVs). However, the state-of-the-art (SOTA) enhancers for nighttime UAV tracking…
Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking
Changhong Fu, Mutian Cai, Sihang Li +3
Unmanned aerial vehicle (UAV) tracking is crucial for autonomous navigation and has broad applications in robotic automation fields. However, reliable UAV tracking remains a challe…
Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis
Changhong Fu, Kunhan Lu, Guangze Zheng +4
Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of applications and attracted increasing attention in the field of intelligent transportation sy…