Researcher

Gary B. Huang

Also known as Gary Huang

Gary Huang is a computer-vision researcher who co-authored the Labeled Faces in the Wild database, a 2007 resource for studying face recognition in unconstrained environments. In 2012 he co-authored Learning to Align from Scratch at NIPS. After graduate work in the UMass Amherst computer vision lab, he joined Janelia Research Campus in 2012. With Viren Jain, he published DAWMR networks for segmenting electron microscopy images, and ICLR published the paper in 2014. As of October 2026, he is a research scientist and software engineer at Janelia Research Campus.

Timeline

  1. 2006–2012

    Graduate work in the Vision Lab

    From 2006 to 2012, he does graduate work in the UMass Amherst computer vision lab.

  2. October 2007

    Labeled Faces in the Wild

    In October 2007 he co-authors Labeled Faces in the Wild, a database for studying face recognition in unconstrained environments.

  3. 2012

    Learning to Align from Scratch

    In 2012 he co-authors Learning to Align from Scratch at NIPS with Marwan Mattar, Honglak Lee and Erik Learned-Miller.

  4. 2012

    Joining Janelia Research Campus

    After graduating in 2012, he joins Janelia Research Campus.

  5. 2014

    DAWMR networks for EM images

    Co-written with Viren Jain, the DAWMR networks for segmenting electron microscopy images appear at ICLR in 2014.

  6. As of October 2026

    Research scientist at Janelia

    He is a research scientist and software engineer at Janelia Research Campus, where he has worked since 2012.

Sources and credits

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  1. Gary Huang garyhuang.net. Checked 14 October 2026.
  2. Gary Huang | Janelia Research Campus janelia.org. Checked 14 October 2026.
  3. Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments | Papers with Code paperswithcode.co. Checked 14 October 2026.
  4. Learning to Align from Scratch papers.nips.cc. Checked 14 October 2026.
  5. [1310.0354] Deep and Wide Multiscale Recursive Networks for Robust Image Labeling arxiv.org. Checked 14 October 2026.
  6. Deep and Wide Multiscale Recursive Networks for Robust Image Labeling | ML Anthology mlanthology.org. Checked 14 October 2026.