activity
20202026
most citedTracker Meets Night: A Transformer Enhancer for UAV Tracking

88 citations · 175 across the 14 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022

Local Perception-Aware Transformer for Aerial Tracking

Changhong Fu, Weiyu Peng, Sihang Li +2

Transformer-based visual object tracking has been utilized extensively. However, the Transformer structure is lack of enough inductive bias. In addition, only focusing on encoding…

cs.CV2022★ 2 cited

Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis

Changhong Fu, Kunhan Lu, Guangze Zheng +4

Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of applications and attracted increasing attention in the field of intelligent transportation sy…

cs.CV2022★ 2 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.CV2022★ 1 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.LG2022★ 5 cited

NoisyMix: Boosting Model Robustness to Common Corruptions

N. Benjamin Erichson, Soon Hoe Lim, Winnie Xu +3

For many real-world applications, obtaining stable and robust statistical performance is more important than simply achieving state-of-the-art predictive test accuracy, and thus ro…