88 citations · 145 across the 14 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…
Tracker Meets Night: A Transformer Enhancer for UAV Tracking
Junjie Ye, Changhong Fu, Ziang Cao +3
Most previous progress in object tracking is realized in daytime scenes with favorable illumination. State-of-the-arts can hardly carry on their superiority at night so far, thereb…
SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking
Liangliang Yao, Changhong Fu, Sihang Li +2
Vision-based object tracking has boosted extensive autonomous applications for unmanned aerial vehicles (UAVs). However, the dynamic changes in flight maneuver and viewpoint encoun…
Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention
Guangze Zheng, Changhong Fu, Junjie Ye +3
Although the manipulating of the unmanned aerial manipulator (UAM) has been widely studied, vision-based UAM approaching, which is crucial to the subsequent manipulating, generally…
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…
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
Junjie Ye, Changhong Fu, Guangze Zheng +2
Previous advances in object tracking mostly reported on favorable illumination circumstances while neglecting performance at nighttime, which significantly impeded the development…
DarkLighter: Light Up the Darkness for UAV Tracking
Junjie Ye, Changhong Fu, Guangze Zheng +2
Recent years have witnessed the fast evolution and promising performance of the convolutional neural network (CNN)-based trackers, which aim at imitating biological visual systems.…
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…