activity
20192022
most citedHiFT: Hierarchical Feature Transformer for Aerial Tracking

11 citations · 42 across the 15 of their papers we have counts for

collaborators

21 papers

cs.CV2022

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…

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.CV20222 cited

TCTrack: Temporal Contexts for Aerial Tracking

Ziang Cao, Ziyuan Huang, Liang Pan +3

Temporal contexts among consecutive frames are far from being fully utilized in existing visual trackers. In this work, we present TCTrack, a comprehensive framework to fully explo…

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.CV2021

Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems

Shan An, Fangru Zhou, Mei Yang +3

Estimating a scene's depth to achieve collision avoidance against moving pedestrians is a crucial and fundamental problem in the robotic field. This paper proposes a novel, low com…