WELCOME to the COMPUTER VISION LAB


vision lab logo

The Computer Vision Laboratory was established in the Computer Science Department at the University of Massachusetts in 1974 with the goal of investigating the scientific principles underlying the construction of integrated vision systems and the application of vision to problems of real-world importance. The emphasis of our work is on vision systems that are capable of functioning flexibly and robustly in complex changing environments.


Click on the panels below to learn more about our latest work:


[DFS FOR TRACKING]
"Tracking with Distribution Fields", Laura Sevilla-Lara and Erik Learned-Miller, CVPR 2012
[BG]
"Background Modeling using Adaptive Pixelwise Kernel Variances in a Hybrid Feature Space", Manjunath Narayana, Allen Hanson, and Erik Learned-Miller, CVPR 2012
[CRBM]
Learning Hierarchical Representations for Face Verification with Convolutional Deep Belief Networks, Gary B. Huang, Honglak Lee, and Erik Learned-Miller, CVPR 2012
[OCR]
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling
Andrew Kae*, Kihyuk Sohn*, Honglak Lee, and Erik Learned-Miller,CVPR 2013
*indicates equal contribution.