Xiaowei Bai — accepted AI-conference papers

2026

Seeing the Unseen: Physics-as-Representation for Generalizable Gaze Perception

Yunfeng Xiao, Xiaowei Bai, Hao Su, Hao He, Liang Xie, Erwei Yin

ICML 2026poster

We introduce physics-as-representation, a learning paradigm that encodes physical structure and geometric laws into visual representations, enabling models to see the unseen—the underlying 3D geometry and motion dynamics not apparent in raw pixels. We instantiate this paradigm in gaze perception by …

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2025

De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation

Yunfeng Xiao, Xiaowei Bai, Baojun Chen, Hao Su, Hao He, Liang Xie +1

CVPR 2025poster

3D Gaze estimation is a challenging task due to two main issues. First, existing methods focus on analyzing dense features (e.g., large pixel regions), which are sensitive to local noise (e.g., light spots, blurs) and result in increased computational complexity. Second, an eyeball model can corresp…

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