Vision, Learning, and Optimization (VLO)

The “Vision, Learning, and Optimization (VLO)” research group, led by Thomas Pock, is concerned with solving challenges in the field of computer vision through machine learning and mathematical optimization. The group’s main focus is on the development of sound mathematical methods and efficient algorithms. Their current work focuses on the development of innovative generative models and efficient algorithms based on consistent statistical modeling and Bayesian inference.