Tentative: linear methods for classification and regression, Gaussian processes, random forests, SVMs and kernels, convolutional neural networks, vision transformer, generative adversarial networks, diffusion models, vision-language models, structured learning, image classification, object detection, action recognition, pose estimation, face analysis, tracking, image synthesis.
The slides and recordings will be provided via sciebo: Slides/Recordings.
MA-INF2201 is recommended but not required. The module is not available for students of the Master's Program "Mobile Robotics".
Wednesday, 10:15-11:45, CP1-HSZ / Hörsaal 3
Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week)
Start: Wednesday, 15.04.
Theory and programming. At least 50% of the exercise points are required to qualify for exam. The programming exercises are implemented in Python and OpenCV.
Register for the exercises until 16.04. via the registration form.
Schedule
Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week; sometimes on Wednesday)
Registration for Phase I and II in HISinOne is required.
Pre-registration period (Phase I): 01.04.-30.04.
Registration period (Phase II): 01.06.-21.06.
Exam: 5.8.-6.8., 2.037, Informatikzentrum (tbc)
2nd Exam: 15.9.-16.9., 2.037, Informatikzentrum (tbc)