Sara Aghajanzadeh

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

MR. Illuminate: Zero-Shot Low-Light Image Enhancement with Diffusion Prior

Joshua Cho, Sara Aghajanzadeh, Zhen Zhu, David Forsyth

CVPR 2026

The primary axes of interest in low-light image enhancement (LLIE) are color constancy--ensuring consistent outputs across inputs of the same scene under varying illumination and noise--and generalization across diverse datasets. Existing methods, whether supervised, unsupervised, or zero-shot, rely

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