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Philipp Oberdiek

PhD Candidate, Researcher, Coffee Enthusiast

Publications

May 2022

UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann
Preprint. Under review.

June 2020

Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Seattle, USA, 2020

September 2019

Exploring Confidence Measures for Word Spotting in Heterogeneous Datasets
Fabian Wolf, Philipp Oberdiek, Gernot A. Fink
Proc. Int. Conf. on Document Analysis and Recognition, Sydney, Australia, 2019

September 2018

Classification Uncertainty of Deep Neural Networks Based on Gradient Information
Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk
8th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition, Siena, Italy, 2018

Education

Since April 2018

PhD – Computer Science
Pattern Recognition in Embedded Systems Group
Computer Science XII
TU Dortmund University
Dortmund, Germany

April 2018

Barmenia-Math-Award 2017 – First Place
For one of the best graduations of the year

March 2018

Master of Science – Mathematics
University of Wuppertal
Wuppertal, Germany
Grade: 1.1
With First Class Honours

July 2015

Bachelor of Science – Business Mathematics
University of Wuppertal
Wuppertal, Germany
Grade: 2.3

June 2012

A-Level
Röntgengymnasium (Grammar School)
Remscheid, Germany

Work Experience

Since April 2018

Research Assistant
Pattern Recognition in Embedded Systems Group
Computer Science XII
TU Dortmund University
Dortmund, Germany

2013 – 2018

Student Research Assistant
University of Wuppertal
Wuppertal, Germany

2017

Internship – Siemens AG
Mühlheim an der Ruhr, Germany
Division Power and Gas
Responsibilities: Machine Learning and Data Analysis

2014

Internship – Commerz Real AG
Düsseldorf, Germany
Responsibilities: Workflow Automation

Hobbies

Tennis
3D Printing
Micro Electronics
Internet of Things
Smart Home