Teaching

My work includes the photo-realistic video synthesis and editing which has a variety of useful applications (e.g., AR/VR telepresence, movie post-production, medical applications, virtual mirrors, virtual sightseeing). The development of algorithms for photo-realistic creation or editing of image content comes with a certain responsibility, since the generation of photo-realistic imagery can be misused. With the rise of methods that are able to synthesize photo-realistic content, we alread see that the society is confronted with fake imagery that is used for malicious purposes (fake news, cyber mobbing). Thus, the automatic detection of synthetic or manipulated content is of paramount importance (e.g., with a browser plugin that automatically flags manipulated images and videos). Gaining knowledge about the creation process will help to design forgery detection algorithms and vice versa. Given the findings of the current literature, an omnipotent detection algorithm that is able to detect a variety of manipulations is still a challenging problem, since most methods do not generalize to unseen manipulation methods. (Online) Self-supervised and few-shot learning methods show promising results. Especially, learning from real examples how a specific person behaves, looks and talks could lead to detection methods that do not overfit to a specific manipulation method. Note that findings in the forensics community can be used to improve the synthesis, since it provides a measurement whether a manipulation is good (deceiving the detector) or bad (detected as manipulation). In contrast to 'passive' forensic methods that only get access to the image or video, one can also actively add cryptographic signatures or watermarks to images and videos. Digital signatures ideally ensure that the media is created by a specific person and that it is not modified afterwards by a second person. While such digital signatures are standard elements for websites, encrypted emails, etc., it is rarely used for images and videos which makes the research for passive detection methods so important.


Lecture: 3D Scanning and Motion Capture

This hands-on lecture focuses on cutting-edge 3D reconstruction approaches, including volumetric fusion approaches on implicit functions, face tracking, hand tracking, and much more! We also cover essential optimization techniques such as Gauss-Newton and Levenberg-Marquardt.

2 minute read    

Seminar: 3D Vision

In this course, students will autonomously investigate recent research about 3D Scanning & Motion Capturing. Independent investigation for further reading, critical analysis, and evaluation of the topic is required.

1 minute read    

Practical Course: 3D Scanning and Spatial Learning

3D scanning and motion capture is of paramount importance for content creation, man-machine as well as machine-environment interaction. In this course we will continue the topics covered by the 3D Scanning & Motion Capture as well as by the Introduction to Deep Learning lecture.

2 minute read    

Seminar: 3D Vision

In this course, students will autonomously investigate recent research about 3D Scanning & Motion Capturing. Independent investigation for further reading, critical analysis, and evaluation of the topic is required.

1 minute read    

Practical Course: 3D Scanning and Spatial Learning

3D scanning and motion capture is of paramount importance for content creation, man-machine as well as machine-environment interaction. In this course we will continue the topics covered by the 3D Scanning & Motion Capture as well as by the Introduction to Deep Learning lecture.

2 minute read    

Lecture: 3D Scanning and Motion Capture

This hands-on lecture focuses on cutting-edge 3D reconstruction approaches, including volumetric fusion approaches on implicit functions, face tracking, hand tracking, and much more! We also cover essential optimization techniques such as Gauss-Newton and Levenberg-Marquardt.

2 minute read    

Lecture: 3D Scanning and Motion Capture

This hands-on lecture focuses on cutting-edge 3D reconstruction approaches, including volumetric fusion approaches on implicit functions, face tracking, hand tracking, and much more! We also cover essential optimization techniques such as Gauss-Newton and Levenberg-Marquardt.

2 minute read    

Practical Course: 3D Scanning and Spatial Learning

3D scanning and motion capture is of paramount importance for content creation, man-machine as well as machine-environment interaction. In this course we will continue the topics covered by the 3D Scanning & Motion Capture as well as by the Introduction to Deep Learning lecture.

2 minute read    

Seminar: 3D Vision

In this course, students will autonomously investigate recent research about 3D Scanning & Motion Capturing. Independent investigation for further reading, critical analysis, and evaluation of the topic is required.

1 minute read    

Lecture: 3D Scanning and Motion Capture

This hands-on lecture focuses on cutting-edge 3D reconstruction approaches, including volumetric fusion approaches on implicit functions, face tracking, hand tracking, and much more! We also cover essential optimization techniques such as Gauss-Newton and Levenberg-Marquardt.

2 minute read    

Seminar: 3D Vision

In this course, students will autonomously investigate recent research about 3D Scanning & Motion Capturing. Independent investigation for further reading, critical analysis, and evaluation of the topic is required.

1 minute read    

Lecture: 3D Scanning and Motion Capture

This hands-on lecture focuses on cutting-edge 3D reconstruction approaches, including volumetric fusion approaches on implicit functions, face tracking, hand tracking, and much more! We also cover essential optimization techniques such as Gauss-Newton and Levenberg-Marquardt.

2 minute read    

Seminar: 3D Vision

In this course, students will autonomously investigate recent research about 3D Scanning & Motion Capturing. Independent investigation for further reading, critical analysis, and evaluation of the topic is required.

1 minute read    

Lecture: 3D Scanning and Motion Capture

This hands-on lecture focuses on cutting-edge 3D reconstruction approaches, including volumetric fusion approaches on implicit functions, face tracking, hand tracking, and much more! We also cover essential optimization techniques such as Gauss-Newton and Levenberg-Marquardt.

2 minute read    

Seminar: 3D Vision

In this course, students will autonomously investigate recent research about 3D Scanning & Motion Capturing. Independent investigation for further reading, critical analysis, and evaluation of the topic is required.

1 minute read    

Lecture: 3D Scanning and Motion Capture

This hands-on lecture focuses on cutting-edge 3D reconstruction approaches, including volumetric fusion approaches on implicit functions, face tracking, hand tracking, and much more! We also cover essential optimization techniques such as Gauss-Newton and Levenberg-Marquardt.

2 minute read    

Lecture: Computer Graphics

This lecture gives an introduction to computer graphics, covering the computer graphics pipeline, lighting models and geometric modelling.

1 minute read    

Lecture: Algorithmics of continuous systems

This lecture introduces a variety of classical algorithms. It covers solvers for linear and non-linear systems, dicretization/quantization, error propagation, interpolation and freeform curves.

1 minute read    

Lecture: Computer Graphics

This lecture gives an introduction to computer graphics, covering the computer graphics pipeline, lighting models and geometric modelling.

1 minute read    

Lecture: Algorithmics of continuous systems

This lecture introduces a variety of classical algorithms. It covers solvers for linear and non-linear systems, dicretization/quantization, error propagation, interpolation and freeform curves.

1 minute read    

Lecture: Mobile Computer Graphics

This lecture focuses on Computer Graphics approaches for mobile devices, like Smartphones and Tablets. It offers hands-on practical exercises for programming on Android hardware.

1 minute read