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 51, Fridays 12:15-13:00 |
| ECTS Credits | 1 |
| Date | Name | Topic |
| 24/02 | Dr. Tobias Günter | Opacity optimization and inertial particles |
| 03/03 | Dr. Cengiz Öztireli | Point Processes in Computer Graphics |
| 10/03 | No seminar | |
| 17/03 | Dr. Roi Poranne | Optimal mappings in geometry processing |
| 24/03 | Dr. Vinicius C. Azevedo | Grids, Particles, Boundaries and Incompressibility in Fluid Animation |
| 31/03 | Dr. Moritz Bäecher | Computational Design and Manufacturing at Disney Research |
| 07/04 | Dr. Torsten Sattler | Mapping and Localization |
| 14/04 | Easter Break | |
| 21/04 | Easter Break | |
| 28/04 | Dr. Paulo Gotardo | Inverse Rendering for 3D Capture and Effects |
| 05/05 | PhD Students Presentation | Hantao Zhao: Re-designing Public Spaces in the Era of AI and VR Riccardo Roveri: Point Sampling with Adaptive Density and Correlations |
| 12/05 | PhD Students Presentation | Loic Ciccone: Authoring Motion Cycles Ian Cherabier: Towards large scale semantic 3D reconstruction |
| 19/05 | PhD Students Presentation | Katarina Tothova: Cortical Surface Reconstruction |
| 26/05 | No Seminar | |
| 02/06 | PhD Students Presentation | Katja Wolff: Packable Springs Ancona Marco: Visualising and understanding predictions with neural networks |
