Tinghui Zhao — accepted AI-conference papers

2026

GMT: Effective Global Framework for Multi-Camera Multi-Target Tracking

Yihao Zhen, Mingyue Xu, Qiang Wang, Baojie Fan, Jiahua Dong, Tinghui Zhao +1

CVPR 2026

Existing Multi-Camera Multi-Target (MCMT) tracking models typically adopt a two-stage framework, involving single-camera tracking followed by inter-camera tracking. However, in this paradigm, the use of multiple views is confined to recovering missed matches in the first stage, providing a limited c

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2025

All-Day Multi-Camera Multi-Target Tracking

Huijie Fan, Yu Qiao, Yihao Zhen, Tinghui Zhao, Baojie Fan, Qiang Wang

CVPR 2025poster

The capability of tracking objects in low-light environments like nighttime is crucial for numerous real-world applications such as crowd behavior analysis and traffic scene understanding. However, previous Multi-Camera Multi-Target(MCMT) tracking methods are primarily focused on tracking during day…

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