88 citations · 88 across the 4 of their papers we have counts for
4 papers
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…
HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV Tracking
Changhong Fu, Haolin Dong, Junjie Ye +3
Low-light environments have posed a formidable challenge for robust unmanned aerial vehicle (UAV) tracking even with state-of-the-art (SOTA) trackers since the potential image feat…
Local Perception-Aware Transformer for Aerial Tracking
Changhong Fu, Weiyu Peng, Sihang Li +2
Transformer-based visual object tracking has been utilized extensively. However, the Transformer structure is lack of enough inductive bias. In addition, only focusing on encoding…