Advanced Empirical Software Engineering

This course covers advanced research topics in computer vision assuming basic knowledge of computer vision. The course will prepare graduate students in both the theoretical foundations of computer vision as well as the practical approaches to building real computer vision systems. Topics covered include multi-view geometry, motion analysis and activity recognition, unsupervised representation learning, image style transfer, deep learning for 3D classification and segmentation, image-to-image translational networks.