David Stutz

As part of my master thesis, I used deep generative models to learn shape priors and perform shape completion in point clouds. Additionally, I worked on KITTI's 3D object detection benchmark, see http://www.cvlibs.net/datasets/kitti/eval_3dobject.php.

Responsible for the conception and implementation of a web-based working plan for a medium-sized company. This greatly benefits my software engineering and project management skills.

In the Office Marketplace Experience Team, I worked on Centralized Deployment allowing administrators to distribute Office Add-Ins within organizations. The experience improved my software engineering and communication skills and taught me to continuously reflect and learn.

Development of an experimental prototype to evaluate deep learning techniques for pedestrian detection. I got first-hand insights on advanced driver assistance systems, their requirements and the problems faced during development.

Starting with the results from my bachelor thesis, published at GCPR 2015, I worked towards a more comprehensive comparison of recent superpixel algorithms. I improved my academic writing and presentation skills and learned to value reproducible research.

I developed experimental prototypes tackling various computer vision problems including line segment and keypoint tracking, statistical clustering and pedestrian detection. By working from home, I learned to communicate results and problems effectively and self-organize my work.

Entwicklung von Plugins und Templates für Content Management Systeme (z.B. Wordpress und CMSimple). Konzeption, Entwicklung und Wartung von Web-Anwendungen für mittelständige Unternehmen.

I worked on several web development and design projects including plugin and theme development for content management and e-commerce systems. This experience improved my software engineering skills regarding popular web technologies.

As tutor for "Mathematical Foundations II", I presented weekly exercises to a group of roughly 30 students, graded their homework and final exams as well as acted as general contact person. This experience improved my mathematical understanding as well as communication and presentation skills.

As tutor for "Calculus", I presented weekly exercises to a group of up to 50 students, graded their homework and final exams as well as acted as general contact person. This experience improved my mathematical understanding as well as communication and presentation skills.

I worked on several projects involving plugin and theme development for content management and e-commerce systems as well as web design. Additionally, I developed individual solutions for specific problems in medium-sized companies. Overall, I was able to improve my programming and software engineering skills and gather hands-on experience in project management.

I worked on visualizing web analytics data using d3.js. This experience introduced me to the topic of data visualization and improved my software engineering skills, especially regarding visualization and animation using JavaScript.

I developed an import and export module for the open source analytics framework Piwik. I was able to improve my software engineering skills, especially regarding web technologies.

I developed a web interface for a web analytics application allowing the user to run complex query against the underlying database. The work fostered my programming and software engineering skills and had significant impact on my decision to pursue computer science.

I was introduced to C++ programming, modeling using Blender and animation in X3D. This experience allowed me to gather hands-on experience within a big research institution.

Expected in 2020.

Courses: Statistical Techniques in Robotics, Probabilistic Graphical Models, Special Problems in Computer Vision Also worked in Prof. Irfan Essa's group on video segmentation using intrinsic video.

GPA: 1.0 (with Distinction, Top of Class); Selected Courses: Mathematical Image Processing, Data Science, Data Mining, Artifical Intelligence, Convex Optimization, Project Management; Thesis: "Learning Shape Completion from Bounding Boxes with CAD Shape Priors"

GPA: 1.1 (with Distinction); Selected Courses: Computer Vision, Machine Learning, Data Mining, Numerical Analysis, Complexity Theory, Model-Based Software Engineering; Thesis: "Superpixel Segmentation using Depth Information"

GPA: 1.2; Majors: Physics, English, Mathematics, Geography