Zefu Xu — accepted AI-conference papers

2025

Denoising Diffusion Models are Good General Gaze Feature Learners

Guanzhong Zeng, Jingjing Wang, Pengwei Yin, Zefu Xu, Mingyang Zhou

IJCAI 2025

Since the collection of labeled gaze data is laborious and time-consuming, methods which can learn generalizable features by leveraging large-scale available unlabeled data are desirable. In recent years, we have witnessed the tremendous capabilities of diffusion models in generating images as well

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2025

Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation

Guanzhong Zeng, Jingjing Wang, Zefu Xu, Pengwei Yin, Wenqi Ren, Di Xie +1

AAAI 2025technical

Gaze estimation methods encounter significant performance deterioration when being evaluated across different domains, because of the domain gap between the testing and training data. Existing methods try to solve this issue by reducing the deviation of data distribution, however, they ignore the ex…

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