Peter F. Michael

Ph.D. Student. Computational Imaging

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Hello! I’m an 4th year Ph.D. Candidate 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. UIST
    LightShop: High-Precision Interactive Computational Light Painting
    Michael, Peter F., Arena, Andrew, Haraldsson, Harald, and Davis, Abe
    ACM UIST (Conditionally Accepted) 2026
    Website
  2. TOG
    Noise-Coded Illumination for Forensic and Photometric Video Analysis
    Michael, Peter F., Hao, Zekun, Belongie, Serge, and Davis, Abe
    ACM Trans. Graph. (presenting at SIGGRAPH 2025) 2025
    PDF Website
  3. 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
  4. 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