Peter F. Michael

Ph.D. Student. Computational Imaging

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Hello! I’m an 3rd year Ph.D. Student at Cornell CS advised by Abe Davis. My interests lie broadly in the field of computational imaging, where I aim to codesign hardware (e.g., embedded systems, optics) and algorithms for content creation-related tasks. My work is supported by an NDSEG fellowship.

Previously, I was a Master’s student at the Paul G. Allen School of Computer Science & Engineering at the University of Washington in Seattle, where I worked in GRAIL. I also completed my undergraduate degree (2018-2021) in computer engineering at the Allen School.

publications

  1. AI4CC
    Towards Unified Keyframe Propagation Models
    Esser, Patrick, Michael, Peter F., and Sengupta, Soumyadip
    In Computer Vision and Pattern Recognition Workshop on AI for Content Creation (CVPRW) Jun 2022
    PDF Website
  2. SPIE
    Survey of image denoising methods for medical image classification
    Michael, Peter F., and Yoon, Hong-Jun
    In Medical Imaging 2020: Computer-Aided Diagnosis Mar 2020
    PDF