PeopleofSuperintelligence

Researcher

Michael Maire

Michael Maire is a computer vision researcher and a co-author of the Microsoft COCO paper, which introduced a dataset of everyday scenes aimed at advancing object recognition. He earned a PhD in computer science at UC Berkeley in 2009 and then worked as a postdoctoral researcher at Caltech. He joined the University of Chicago in 2018 after serving as a research assistant professor at TTIC, and his colorization network, which learns in a self-supervised way, was presented at ECCV in 2016. The COCO paper received the Koenderink Prize at ECCV in 2024. As of October 2026, he is an associate professor in the Department of Computer Science at the University of Chicago.

Timeline

  1. 2009

    A PhD at UC Berkeley

    He completes a PhD in computer science at UC Berkeley in 2009.

  2. 2012

    A postdoc at Caltech

    During the 2012 ImageNet competition, he is a postdoctoral researcher in the Caltech Computer Vision Lab.

  3. 2014

    Co-authoring the COCO paper

    He co-authors Microsoft COCO: Common Objects in Context, published by ECCV in September 2014. The paper presents a dataset of everyday scenes with 2.5 million labeled instances in 328k images, aimed at advancing object recognition.

  4. 2016

    Automatic colorization at ECCV

    A colorization network that he co-authors is presented at ECCV in 2016, learning to color images in a self-supervised way without human labeling effort.

  5. 2018

    Joining UChicago computer science

    Joining the University of Chicago's computer science department in 2018, he becomes an assistant professor after serving as a research assistant professor at TTIC.

  6. 2024

    A Koenderink Prize for COCO

    In 2024 the COCO paper, which Maire co-authors, receives the Koenderink Prize at ECCV.

  7. As of October 2026

    Associate professor at UChicago

    He is an associate professor in the Department of Computer Science at the University of Chicago. His research interests span computer vision and deep learning.

Sources and credits

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  1. Michael Maire – Department of Computer Science cs.uchicago.edu. Checked 14 October 2026.
  2. Michael Maire, An Architect of Deep Learning, Joins CS from TTIC – Department of Computer Science www1-prod.cs.uchicago.edu. Checked 14 October 2026.
  3. Microsoft COCO: Common Objects in Context - Microsoft Research microsoft.com. Checked 14 October 2026.
  4. [1405.0312] Microsoft COCO: Common Objects in Context arxiv.org. Checked 14 October 2026.
  5. michael maire people.cs.uchicago.edu. Checked 14 October 2026.
  6. ECVA | European Computer Vision Association ecva.net. Checked 14 October 2026.