Main

Computer Vision Lab
Department of Computer Science
University of Massachusetts - Amherst
gbhuang@cs.umass.edu
After five and a half happy years at Amherst, doing research under the supervision of my advisor Professor Erik Learned-Miller, I completed my dissertation defense in 2012 and graduated in May. I am now a software engineer at Janelia Farm, working in the Jain lab.
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]
- Andrew Kae, Gary
B. Huang, Carl
Doersch, and Erik
Learned-Miller.
- 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.
- Gary
B. Huang, Marwan
Mattar, Tamara Berg,
and Erik
Learned-Miller.
Other
- gbh qed - a blog I keep of useful facts I came across in my research, along with proofs
- UMass LIVING - a blog for our UMass vision lab's reading group. Currently inactive. Contains some useful notes and summaries of Wainwright and Jordan's Graphic Models, Exponential Families, and Variational Inference.
- Halcyon days in Amherst