Master-Praktikum - Advanced Praktikum for Deep Learning for Video Analysis (IN2106, IN4266)
Course 0000004670 in WS 2019/20
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Patrick Dendorfer Laura Leal-Taixe |
| Dates |
Assignment to Modules
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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 | Image analysis has seen a huge boost brought by Deep Learning and large-scale datasets. In this practical course, we will target one task related to video analysis and/or synthesis using Deep Learning. The focus will be towards a practical project and real application that can take advantage of the vast amount of tools present now in the Computer Vision community. There are no restrictions as to the number of sensors that can be used for training (depth, event cameras, etc) but the test scenario should work preferably only with RGB videos. We will look into supervised as well as unsupervised solutions for the problem at hand. |
|---|---|
| Links | TUMonline entry |