Xiaoyang Bai

2 accepted papers

2026

Global Underwater Geolocation from Time-Lapse Polarization Imagery

Sara Aghajanzadeh, Xiaoyang Bai, Zhongmin Zhu, David Forsyth, Viktor Gruev

CVPR 2026

It is extremely hard for an underwater agent to know where it is. Satellite signals disappear within centimeters of the surface; acoustic baselines require heavy infrastructure to instrument small regions. The polarization of the sky, visible underwater, reveals the elevation of the sun. The pattern

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2026

PhyGaP: Physically-Grounded Gaussians with Polarization Cues

Jiale Wu, Xiaoyang Bai, Zongqi He, Weiwei Xu, Yifan Peng

CVPR 2026

Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated great success in modeling reflective 3D objects and their interaction with the environment via deferred rendering (DR). However, existing methods often struggle with correctly reconstructing physical attributes such as albedo and refl

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