Ruixin Shi — 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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2022

Regularized Latent Space Exploration for Discriminative Face Super-Resolution

Ruixin Shi, Junzheng Zhang, Yong Li, Shiming Ge

ICASSP 2022accepted

Learning face super-resolution models is challenged in many practical scenarios where high-resolution and low-resolution face pairs usually are difficult to collect for training examples. Recent self-supervised approach provides a feasible solution by using low-resolution faces to guide the generati…

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