2 citations · 2 across the 12 of their papers we have counts for
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Dual Prompt-Driven Feature Encoding for Nighttime UAV Tracking
Yiheng Wang, Changhong Fu, Liangliang Yao +2
Robust feature encoding constitutes the foundation of UAV tracking by enabling the nuanced perception of target appearance and motion, thereby playing a pivotal role in ensuring re…
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
Guangze Zheng, Shijie Lin, Haobo Zuo +4
This work proposes the Lattice Boltzmann Model (LBM) to learn real-world pixel dynamicity for visual tracking. LBM decomposes visual representations into dynamic pixel lattices and…
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…
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…
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…
Prompt-Driven Temporal Domain Adaptation for Nighttime UAV Tracking
Changhong Fu, Yiheng Wang, Liangliang Yao +3
Nighttime UAV tracking under low-illuminated scenarios has achieved great progress by domain adaptation (DA). However, previous DA training-based works are deficient in narrowing t…