PeopleofSuperintelligence

Researcher

George Papandreou

George Papandreou is a computer vision researcher who co-wrote DeepLab, a semantic image segmentation paper, and PersonLab, a bottom-up approach to pose estimation. He earned a diploma in 2003 and a PhD in 2009 at the National Technical University of Athens, then worked as a postdoctoral research scholar at UCLA with Alan Yuille. He joined Google as a research scientist in December 2014. Alan Yuille and his collaborators, including him, received the 2026 ICBS Frontiers of Science Award. His affiliation on MeshPose, a 2024 paper, is Snap Inc.

Timeline

  1. 2003–2009

    Diploma and PhD in Athens

    He earns a diploma in 2003 and a PhD in 2009 in electrical and computer engineering at the National Technical University of Athens.

  2. 2009–2013

    A postdoc with Alan Yuille

    He works as a postdoctoral research scholar at UCLA from 2009 to 2013, with Alan Yuille.

  3. 2011

    Perturb-and-MAP random fields

    He and Alan Yuille publish Perturb-and-MAP Random Fields at ICCV 2011, a computer vision conference in Barcelona.

  4. 2014

    An ImageNet 2014 entry

    Deep epitomic nets are key ingredients in his TTIC_ECP entry to the ImageNet LSVRC 2014 classification competition, which reaches a 10.2% top-5 error rate.

  5. December 2014

    A research scientist at Google

    He joins Google as a research scientist in December 2014.

  6. 2016–2026

    DeepLab and a 2026 award

    He co-writes DeepLab, a 2016 paper on semantic image segmentation with atrous convolution. Yuille and his collaborators, including him, receive the 2026 ICBS Frontiers of Science Award.

  7. 2018

    PersonLab at ECCV

    He co-writes PersonLab, a box-free bottom-up approach to pose estimation and instance segmentation of people, published at ECCV 2018.

  8. Since 2024

    A Snap Inc. affiliation

    His affiliation on MeshPose, a 2024 paper on DensePose and 3D body mesh reconstruction, is Snap Inc.

Sources and credits

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  1. George Papandreou -- Home Page home.ttic.edu. Checked 14 October 2026.
  2. George Papandreou - Wikidata wikidata.org. Checked 14 October 2026.
  3. George Papandreou -- Publications home.ttic.edu. Checked 14 October 2026.
  4. [1606.00915] DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs arxiv.org. Checked 14 October 2026.
  5. George Papandreou's articles on arXiv arxiv.org. Checked 14 October 2026.
  6. CCVL @ Johns Hopkins University ccvl.jhu.edu. Checked 14 October 2026.
  7. PersonLab: Person Pose Estimation and Instance Segmentation with a Part-Based Geometric Embedding Model research.google. Checked 14 October 2026.
  8. ECCV 2018 Open Access Repository openaccess.thecvf.com. Checked 14 October 2026.
  9. MeshPose: Unifying DensePose and 3D Body Mesh reconstruction arxiv.org. Checked 14 October 2026.
  10. MeshPose Project page meshpose.github.io. Checked 14 October 2026.