Research Training Group 1653 - Alumni

Graphical Models
variational methods, image processing, computer vision
Deep Architectures for Semantic Video Analysis (since November 2013); moved to CompVis (NK)
Inference and Learning with Sum-Product Networks (since October 2013)
Graphical Models
Optimization for Machine Learning
Semialgebraic Data Models and Convex Relaxations (since April 2014)
Graphical Models for Motion Based Video Segmentation (since August' 2013)
Learning Part Models for Depth-based Recognition (since April' 2013)
A Marked Point Process Model for Dynamic Cell Structure in Bio-Imaging (since October 2013)