An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures
A web-based interactive tool for training deep neural networks for segmentation tasks. It consists of a server backend that runs on a high-performance GPU compute node, and a front end user interface that runs on a web browser. User configures a classifier, the classes of objects to be detected, and the set of images to use for training and validation.
Skin Reflectance Database
The MERL / ETH Skin Reflectance Database is a set of statistics for parameters of the Torrance-Sparrow and Blinn-Phong analytic BRDF models and face albedo. We derived these statistics from measuring skin reflectance of 149 subjects of varying age, gender, and race. We are making the collected statistics publicly available to the research community for applications in face synthesis and analysis.