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20192022
most citedHiFT: Hierarchical Feature Transformer for Aerial Tracking

11 citations · 31 across the 7 of their papers we have counts for

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13 papers · 1 filter

cs.CV2022

Egocentric Prediction of Action Target in 3D

Yiming Li, Ziang Cao, Andrew Liang +4

We are interested in anticipating as early as possible the target location of a person's object manipulation action in a 3D workspace from egocentric vision. It is important in fie…

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.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.CV2021

Fooling LiDAR Perception via Adversarial Trajectory Perturbation

Yiming Li, Congcong Wen, Felix Juefei-Xu +1

LiDAR point clouds collected from a moving vehicle are functions of its trajectories, because the sensor motion needs to be compensated to avoid distortions. When autonomous vehicl…

cs.CV2020

Siamese Anchor Proposal Network for High-Speed Aerial Tracking

Changhong Fu, Ziang Cao, Yiming Li +2

In the domain of visual tracking, most deep learning-based trackers highlight the accuracy but casting aside efficiency. Therefore, their real-world deployment on mobile platforms…

cs.CV20201 cited

Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization

Fangqiang Ding, Changhong Fu, Yiming Li +2

Current unmanned aerial vehicle (UAV) visual tracking algorithms are primarily limited with respect to: (i) the kind of size variation they can deal with, (ii) the implementation s…