Vincent Latzko received his Diploma degree in Electrical Engineering and Information Technology from Technische Universität Darmstadt, with a focus on the fundamental theory of electromagnetic fields and the numerical solution of Maxwell’s equations (www.temf.de) using a multitude of mathematical and algorithmic methods (such as DG-FEM, FDTD, Symplectic or BEM/Integral Equation solvers). He worked extensively in fundamental research at one of Europe’s largest particle accelerator facilities, the GSI Helmholtzcentre for Heavy Ion Research (www.gsi.de). In his diploma thesis with Prof. PhD Carsten Rother at the computer vision lab Dresden he restored distorted depth maps using Regression Tree Fields, a non-parametric Gaussian Conditional Random Field method. He afterwards focused on analytical approaches for regression problems as well as on data driven, deep learning models.