Tentative: linear methods for classification and regression, Gaussian processes, random forests, SVMs and kernels, convolutional neural networks, vision transformer, generative adversarial networks, diffusion 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, 10.04.
The lecture hall will be closed on 10.04., see announcement. The introduction on 10.04. will thus be given online.
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 12.04. 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: 25.7., 2.037, Informatikzentrum
2nd Exam: 19.9.-20.9., 2.037, Informatikzentrum
If you have not received an email with a time slot, please contact me.