activity
20202026
most citedHiFT: Hierarchical Feature Transformer for Aerial Tracking

11 citations · 27 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2023

Towards Real-World Visual Tracking with Temporal Contexts

Ziang Cao, Ziyuan Huang, Liang Pan +3

Visual tracking has made significant improvements in the past few decades. Most existing state-of-the-art trackers 1) merely aim for performance in ideal conditions while overlooki…

cs.CV202388 cited

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…

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.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.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…