Please join the Goergen Institute for Data Science for: Small Data, Big Insights, a data science research seminar with Raja Bala, Principal Scientist and Leader of the Computer Vision group at the Palo Alto Research Center.


Deep learning has defined the state of the art for many computer vision tasks, thanks to advances in computing hardware and the availability of large datasets. However, for many practical applications, data acquisition and annotation can be a laborious and expensive task. This is especially true in specialized fields such as medical imaging, where annotation must be carried out by domain experts. I will describe a series of novel approaches developed at PARC to address the “Small Data” problem. This includes i) incorporating domain-specific regularizers into deep networks for robustness to sparse training; ii) data synthesis via generative models; iii) label propagation with semi-supervised learning; iv) interactive scene annotation with augmented reality; and v) high quality image acquisition with human-in-loop.


Raja Bala is a Principal Scientist and Leader of the Computer Vision group at Palo Alto Research Center. His research interests are at the intersection of digital imaging, computer vision, and machine learning. He is a Fellow of IS&T, and holds over 100 publications and 180 patents in digital imaging and computer vision. He is Associate Editor of the IEEE Transactions on Image Processing, and co-editor of the book “Computer Vision and Imaging in Intelligent Transportation Systems”. He received a Ph.D. in Electrical Engineering from Purdue University.

Event Details


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