10 papers · 1 filter
AstraSR: Real-World Thermal Super-Resolution with GPT-6 Astra
Mengyuan Li, Changhong Fu, Jun Zhang +3
Real-world thermal super-resolution (SR) is constrained by limited sensor resolution and the difficulty of obtaining corresponding high-resolution (HR) observations for direct mode…
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…
Progressive Representation Learning for Real-Time UAV Tracking
Changhong Fu, Xiang Lei, Haobo Zuo +3
Visual object tracking has significantly promoted autonomous applications for unmanned aerial vehicles (UAVs). However, learning robust object representations for UAV tracking is e…
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…
NetTrack: Tracking Highly Dynamic Objects with a Net
Guangze Zheng, Shijie Lin, Haobo Zuo +2
The complex dynamicity of open-world objects presents non-negligible challenges for multi-object tracking (MOT), often manifested as severe deformations, fast motion, and occlusion…