Haojie Zhao — accepted AI-conference papers

2023

ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data

Haojie Zhao, Junsong Chen, Lijun Wang, Huchuan Lu

CVPR 2023poster

Compared with traditional RGB-only visual tracking, few datasets have been constructed for RGB-D tracking. In this paper, we propose ARKitTrack, a new RGB-D tracking dataset for both static and dynamic scenes captured by consumer-grade LiDAR scanners equipped on Apple's iPhone and iPad. ARKitTrack c…

Cited by 24 Source ↗PDF ↗code ↗Scholar ↗

2019

'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking

Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang

ICCV 2019poster

Compared with traditional short-term tracking, long-term tracking poses more challenges and is much closer to realistic applications. However, few works have been done and their performance have also been limited. In this work, we present a novel robust and real-time long-term tracking framework bas…

Cited by 229 PDF ↗code ↗Scholar ↗