Practical Course: Deep Learning in Visual Computing (IN4282)
Course 0000004480 in SS 2023
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 28 - Associate Professorship of Visual Computing (Prof. Nießner) |
| Lecturers |
Matthias Nießner Susanne Weitz |
| Dates |
Thu, 14:00–16:00, MI 02.13.010 |
Assignment to Modules
-
IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | Equivalent to Guided Research in the Visual Computing Lab. Focus on cutting-edge research topics with a focus on academic careers; e.g., targeting AI/ML and/or vision venues; often preparation for research-focused Master Theses. Topics include: AI-based video/image generation, neural rendering, media forensics/forgery detection, 3D reconstruction, RGB-D scanning, semantic scene understanding, deep learning on geometry/3d data, AI-based view synthesis, lighting/material estimation. Please send applications (CV + Transcripts) to niessner@tum.de |
|---|---|
| Links | TUMonline entry |