In this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.
The seminar takes place in the spring and autumn semester.
This course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research.
Ungraded semester performance. Presence is mandatory (75% of the seminar talks, i.e., 9 out of 12) to pass the seminar. Presence is formally controlled. Every participant has to present his/her research once a year.
| Number | 264-5800-06L |
| Organizers | M. Gross, O. Sorkine-Hornung, M. Pollefeys |
| Coordinator | Vinicius Da Costa De Azevedo |
| Location | CAB G 52, Fridays 12:15-13:00 |
| ECTS Credits | 1 |
| Date | Name | Topic |
| 22/09 | Dr. Severin Klinger | TBA |
| 29/09 | Monique Meuschke | Visualization and Interactive Exploration of Risk Criteria for Cardiovascular Diseases |
| 06/10 | No Seminar | - |
| 13/10 | Dr. Vagia Tsiminaki | Appearance Modeling for 4D Multi-view Representations |
| 20/10 | Dr. Kai Lawonn | Visual enhancement of focus structures in selected applications |
| 27/10 | Dr. Zhaopeng Cui | Global Structure-from-Motion and Its Applications |
| 03/11 | PhD Students Presentation | Lucas Teixeira: Computer vision for autonomous aerial robots Daniel Thul: Temporally Coherent Approximate Convex Decomposition |
| 10/11 | PhD Students Presentation | Byungsoo Kim: Subspace fluid simulation and control with machine learning |
| 17/11 | No Seminar | - |
| 24/11 | PhD Students Presentation | Gökcen Cimen: Intuitive Interfaces for Interactively-Controlled Physically Simulated Characters Rafael Wampfler: Investigation of User Emotion for Improving Learning Applications |
| 01/12 | PhD Students Presentation | Fabiola Maffra: Place Recognition for UAV Navigation Thomas Müller: Machine Learning for Light-Transport Simulation |
| 08/12 | Dr. Nils Thuerey | Deep Learning for Physics Problems, especially Fluids |