Mingqi Fang — accepted AI-conference papers

2025

CPL: Curriculum Pseudo Labeling for Weakly Supervised Temporal Forgery Localization

Dijia Zhang, Mingqi Fang, Zhiying Lu, Hongtao Xie

ICASSP 2025accepted

In forgery detection, temporal forgery localization offers a more nuanced perspective than binary detection by providing more precise temporal boundaries of manipulations. However, its need for frame-wise annotations limits real-world practicality. Therefore, we present the task of Weakly Supervised…

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2025

Forensic-MoE: Exploring Comprehensive Synthetic Image Detection Traces with Mixture of Experts

Mingqi Fang, Ziguang Li, Lingyun Yu, Quanwei Yang, Hongtao Xie, Yongdong Zhang

ICCV 2025poster

Recently, synthetic images have evolved incredibly realistic with the development of generative techniques. To avoid the spread of misinformation and identify synthetic content, research on synthetic image detection becomes urgent. Unfortunately, limited to the singular forensic perspective, existin…

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