Junjie Ye
Junjie Ye
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Unmanned aerial vehicles
SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking
Vision-based object tracking has boosted extensive autonomous applications for unmanned aerial vehicles (UAVs). However, the frequent …
Liangliang Yao
,
Changhong Fu
,
Sihang Li
,
Guangze Zheng
,
Junjie Ye
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Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking
Visual tracking is adopted to extensive unmanned aerial vehicle (UAV)-related applications, which leads to a highly demanding …
Changhong Fu
,
Sihang Li
,
Xinnan Yuan
,
Junjie Ye
,
Ziang Cao
,
Fangqiang Ding
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HiFT: Hierarchical Feature Transformer for Aerial Tracking
ICCV2021.
Introduced the hierarchical feature transformer into the Siamese framework to achieve interactive fusion of spatial and semantic cues.
Ziang Cao
,
Changhong Fu
,
Junjie Ye
,
Bowen Li
,
Yiming Li
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DarkLighter: Light Up the Darkness for UAV Tracking
IROS2021.
Designed a Retinex-inspired plug-and-play deep low-light enhancer to light up the darkness for UAV tracking.
Junjie Ye
,
Changhong Fu
,
Guangze Zheng
,
Ziang Cao
,
Bowen Li
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SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
IROS2021.
Integrated self-attention and cross-attention into the Siamese framework to enhanced the perception ability for various scale objects.
Ziang Cao
,
Changhong Fu
,
Junjie Ye
,
Bowen Li
,
Yiming Li
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Video
ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
Prior correlation filter (CF)-based tracking methods for unmanned aerial vehicles (UAVs) have virtually focused on tracking in the …
Bowen Li
,
Changhong Fu
,
Fangqiang Ding
,
Junjie Ye
,
Fuling Lin
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Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label
ICRA2021.
Constructed a novel CF-based tracker to enhance the sensitivity and resistance to mutations with an adaptive hybrid label.
Guangze Zheng
,
Changhong Fu
,
Junjie Ye
,
Fuling Lin
,
Fangqiang Ding
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Video
Siamese Anchor Proposal Network for High-Speed Aerial Tracking
In the domain of visual tracking, most deep learning-based trackers highlight the accuracy but casting aside efficiency, thereby …
Changhong Fu
,
Ziang Cao
,
Yiming Li
,
Junjie Ye
,
Chen Feng
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