Shumian Xin

I am a research scientist on Adobe's computational photography team led by Marc Levoy. Previously, I worked with Prof. Ioannis Gkioulekas and Prof. Srinivasa Narasimhan on computational imaging research and received my Ph.D. degree in Robotics from Carnegie Mellon University. I received my Master's degree in Electrical and Computer Engineering from CMU, and my Bachelor's degree in Electrical Engineering from Xi'an Jiaotong University.

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Proposed a single-shot depth from defocus method using commercial dual-pixel sensors, and formulated an optimization problem to jointly recover the defocus map and all-in-focus image of an unknown scene from a single dual-pixel image with potential defocus blurs.

Explored the seemingly impossible NLOS imaging problem of reconstructing objects which are completely occluded and outside the line-of-sight of a camera, proposed a novel theory of Fermat paths for NLOS shape reconstruction, and obtained high-resolution results as if the NLOS objects were directly visible.

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