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Fall 2013
Medical image registration and segmentation are challenging because, medical images are generally corrupted by noise, image artifacts and the various anatomical regions of interest in medical images often do not have distinct sharp boundaries. However, these anatomical regions frequently...
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Fall 2011
Photo-realistic renderings of humans are required for real-time graphics applications, and accurate human models are useful in applications such as model-based tracking. Non-rigid deformations of humans, e.g., deforming cloth and muscle bulging, are hard to model geometrically and are inefficient...
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Spring 2018
Semantic segmentation is about classifying every pixel in an image. In recent years, methods based on Fully Convolutional Networks (FCN) have dominated this field in terms of segmentation accuracy. We are interested in tackling the challenges that these methods are faced with. First, it is...