David Stutz.
Understanding and Improving Robustness and Uncertainty Estimation in Deep Learning.
Saarland University & Max Planck Institute for Informatics, July 2022.
Advisors: Prof. Bernt Schiele, Prof. Matthias Hein
Committee: Dr. Pawan Kumar, Prof. Mario Fritz, Prof. Eddy Ilg, Dr. Jan Eric Lenssen
[PDF, Project Page]
David Stutz.
Learning shape completion from bounding boxes with CAD shape priors.
RWTH Aachen University, September 2017.
Advisors: Prof. Andreas Geiger, Prof. Bastian Leibe
[PDF, Project Page]
David Stutz.
Superpixel segmentation using depth information.
RWTH Aachen University, September 2014.
Advisors: Alexander Hermans, Prof. Bastian Leibe
[PDF, Project Page]
As part of my bachelor thesis at RWTH Aachen University, entitled “Superpixel Segmentation using Depth Information”, I prepared an introductory talk to present my work to the whole Computer Vision Group. This article provides the corresponding slides.
Due to my bachelor thesis at RWTH Aachen University I am currently busy learning everything about superpixel segmentation — the oversegmentation of an image into groups of pixels using low-level features. In this article I want to give a short introduction by presenting my bachelor thesis proposal.