activity
20202022
most citedARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones

20 citations · 48 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2022

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…

cs.CV20221 cited

Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking

Changhong Fu, Sihang Li, Xinnan Yuan +3

Visual tracking is adopted to extensive unmanned aerial vehicle (UAV)-related applications, which leads to a highly demanding requirement on the robustness of UAV trackers. However…

cs.CV202111 cited

HiFT: Hierarchical Feature Transformer for Aerial Tracking

Ziang Cao, Changhong Fu, Junjie Ye +2

Most existing Siamese-based tracking methods execute the classification and regression of the target object based on the similarity maps. However, they either employ a single map f…

cs.CV202120 cited

ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones

Shan An, Guangfu Che, Jinghao Guo +7

Virtual try-on technology enables users to try various fashion items using augmented reality and provides a convenient online shopping experience. However, most previous works focu…

cs.CV20218 cited

SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking

Ziang Cao, Changhong Fu, Junjie Ye +2

Recently, the Siamese-based method has stood out from multitudinous tracking methods owing to its state-of-the-art (SOTA) performance. Nevertheless, due to various special challeng…

cs.CV20213 cited

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…