Dongliang Zhu — accepted AI-conference papers

2026

Revisiting Attention in the Dark for Low-Light Person Re-Identiffcation

Xiang Guo, Ruimin Hu, Dongliang Zhu, Mei Wang

AAAI 2026technical

Person re-identification (Re-ID) under extremely low-light conditions suffers from severe image degradation, which significantly impairs the extraction of identity-discriminative features. Existing methods struggle to recover semantic information that is obscured under poor illumination. To better u

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2025

MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection

Mei Wang, Xiaojie Zhu, Ruimin Hu, Dongliang Zhu, Liang Liao, Mang Ye

AAAI 2025technical

Fatigue is a critical factor contributing to accidents in industries such as safety monitoring and engineering construction. Fatigue exhibits dynamic complexity and non-stationary characteristics, so there are many intermediate states of short-term variation between alert and fatigue. Capturing and…

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