Weijia Guo — accepted AI-conference papers

2025

Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition

Junzheng Zhang, Weijia Guo, Bochao Liu, Ruixin Shi, Yong Li, Shiming Ge

ICASSP 2025accepted

Very low-resolution face recognition is challenging due to the serious loss of informative facial details in resolution degradation. Recent approaches based on knowledge distillation provide an effective solution by distilling knowledge from a well-trained teacher for high-resolution face recognitio…

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2024

Masked Face Recognition with Generative-to-Discriminative Representations

Shiming Ge, Weijia Guo, Chenyu Li, Zhang Junzheng, Yong Li, Dan Zeng

ICML 2024spotlight

Masked face recognition is important for social good but challenged by diverse occlusions that cause insufficient or inaccurate representations. In this work, we propose a unified deep network to learn generative-to-discriminative representations for facilitating masked face recognition. To this end…

Cited by 4 Source ↗PDF ↗Scholar ↗