Pengzhan Zhou — accepted AI-conference papers

2026

PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement

Zijun Tan, Chuan Fu, Tan Guo, Zhixiong Nan, Pengzhan Zhou, Xinggan Peng +1

AAAI 2026technical

Underwater image enhancement (UIE) aims to address image degradation caused by water absorption and scattering effects. Despite significant progress in deep learning-based UIE methods, existing approaches still face key challenges due to the neglect of physical imaging principle. Moreover, while cur

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2025

EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation

Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng +2

IJCAI 2025

Present Advanced Driving Assistance System (ADAS) responds to the dangerous crossing of pedestrians after the occurrence of the incident, occasionally causing severe accidents due to the stringent response window. Inference of pedestrian crossing intention may help vehicles operate in advance and en

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