Unmanned aerial vehicle

PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework

ICCV2023. A simple and effective framework to realize robust predictive visual tracking.

Bowen Li, Ziyuan Huang, Junjie Ye, Yiming Li, Sebastian Scherer, Hang Zhao, Changhong Fu

PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework

Scale-Aware Domain Adaptation for Robust UAV Tracking

Siamese object tracking has facilitated diversified applications for autonomous unmanned aerial vehicles (UAVs). However, they are …

Changhong Fu, Teng Li, Junjie Ye, Guangze Zheng, Sihang Li, Peng Lu

Scale-Aware Domain Adaptation for Robust UAV Tracking

All-Day Object Tracking for Unmanned Aerial Vehicle

Unmanned aerial vehicle (UAV) has facilitated a wide range of real-world applications and attracted extensive research in the mobile …

Bowen Li, Changhong Fu, Fangqiang Ding, Junjie Ye, Fuling Lin

Tracker Meets Night: A Transformer Enhancer for UAV Tracking

IEEE RA-L with ICRA2022. Trained a spatial-channel transformer-based low-light enhancer in a novel task-related manner, to facilitate nighttime aerial tracking significantly.

Junjie Ye, Changhong Fu, Ziang Cao, Shan An, Guangze Zheng, Bowen Li

Tracker Meets Night: A Transformer Enhancer for UAV Tracking

Predictive Visual Tracking: A New Benchmark and Baseline Approach

A latency-aware benchmark to evaluate tracking methods in a more realistic way.

Bowen Li, Yiming Li, Junjie Ye, Changhong Fu, Hang Zhao