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Practical Course: Deep Learning for 3D Perception (IN2106, IN4319)

Course 0000000788 in SS 2023

General Data

Course Type practical training
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 15 - Chair of Computer Graphics and Visualization (Prof. Westermann)
Lecturers Angela Dai
Christian Diller
Assia Franzmann
Can Gümeli
Jiapeng Tang
Susanne Weitz
Dates Wed, 12:00–14:00, MI 02.13.010

Assignment to Modules

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 This course is equivalent to Guided Research in the 3D AI Lab. We will take an academic research focus on cutting-edge topics in computer vision, graphics, and machine learning. Topics cover 3D reconstruction, 3D semantic scene understanding, generative 3D modeling, dynamic modeling, self-supervised, weakly-supervised, and few-shot learning for 3D reconstruction and semantics. Please send applications (CV + Transcripts) to angela.dai@tum.de
Links E-Learning course (e. g. Moodle)
TUMonline entry
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