Research
I'm interested in computational imaging, imaging through turbulence, and machine learning. Some papers are highlighted.
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Guidestar-Free Adaptive Optics with Asymmetric Apertures
Weiyun Jiang*,
Haiyun Guo*,
Christopher A. Metzler†,
Ashok Veeraraghavan†
ACM Transactions on Graphics (TOG), 2026. To be presented at SIGGRAPH 2026.
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arXiv
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The first closed-loop adaptive optics system to correct aberrations in real time without a guidestar or wavefront sensor.
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Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations
Haoming Cai*,
Jingxi Chen*,
Brandon Y. Feng,
Weiyun Jiang,
Mingyang Xie,
Kevin Zhang,
Cornelia Fermuller,
Yiannis Aloimonos,
Ashok Veeraraghavan,
Christopher A. Metzler
Conference on Neural Information Processing Systems (NeurIPS), 2024
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paper
Temporal low-pass filtering via neural video representations removes the flickering distortions of atmospheric turbulence.
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NeRT: Implicit Neural Representations for Unsupervised Turbulence Mitigation
Weiyun Jiang,
Vivek Boominathan,
Ashok Veeraraghavan
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
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arXiv
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slides
Learning to reverse atmospheric distortions from degraded images alone, guided by the tilt-then-blur physics of turbulence.
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Website template from here.
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