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.
Wednesday, 10:15-11:45, CP1-HSZ / Hörsaal 3
Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week)
Start: Wednesday, 9.04.
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 10.04. via the registration form
Schedule
Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week; sometimes on Wednesday)
Registration period: 01.06.-21.06.
Exam: 28.7.-29.7., 2.037, Informatikzentrum (tbc)
2nd Exam: 8.9.-9.9., 2.037, Informatikzentrum (tbc)