Publications:

• Gary B. Huang
  Weakly Supervised Learning for Unconstrained Face Processing.
  Ph.D. Thesis, University of Massachusetts Amherst, 2012.
• Gary B. Huang, Marwan Mattar, Honglak Lee, and Erik Learned-Miller.
  Learning to Align from Scratch.
  Advances in Neural Information Processing Systems (NIPS), 2012.
• Gary B. Huang, Honglak Lee, and Erik Learned-Miller.
  Learning Hierarchical Representations for Face Verification with Convolutional Deep Belief Networks.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
• Gary B. Huang, Andrew Kae, Carl Doersch, and Erik Learned-Miller.
  Bounding the Probability of Error for High Precision Optical Character Recognition.
  Journal of Machine Learning Research (JMLR), Volume 13, pp. 363-387, 2012.
  • Andrew Kae, Gary B. Huang, Carl Doersch, and Erik Learned-Miller.
    Improving State-of-the-Art OCR through High-Precision Document-Specific Modeling.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  • Andrew Kae, Gary B. Huang, and Erik Learned-Miller.
    Bounding the Probability of Error for High Precision Recognition.
    Technical Report UM-CS-2009-031, Dept. of Computer Science, University of Massachusetts, Amherst, 2009.
    [on arxiv.org]
• Gary B. Huang and Erik Learned-Miller.
  Learning Class-Specific Image Transformations with Higher-Order Boltzmann Machines.
  In Structured Models in Computer Vision Workshop in CVPR, 2010.
• Gary B. Huang, Michael J. Jones, and Erik Learned-Miller.
  LFW Results Using a Combined Nowak Plus MERL Recognizer.
  Faces in Real-Life Images Workshop in European Conference on Computer Vision (ECCV), 2008.
• Gary B. Huang, Manjunath Narayana, and Erik Learned-Miller.
  Towards unconstrained face recognition.
  In The Sixth IEEE Computer Society Workshop on Perceptual Organization in Computer Vision IEEE CVPR, 2008.
• Gary B. Huang, Vidit Jain, and Erik Learned-Miller.
  Unsupervised joint alignment of complex images.
  International Conference on Computer Vision (ICCV), 2007.
  [project webpage]
  [ppt]
• Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller.
  Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments.
  University of Massachusetts, Amherst, Technical Report 07-49, October, 2007.
  [LFW homepage]
  • Gary B. Huang, Marwan Mattar, Tamara Berg, and Erik Learned-Miller.
    Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments.
    Faces in Real-Life Images Workshop in European Conference on Computer Vision (ECCV), 2008.