High-Level Computer Vision



This course will cover essential techniques for high-level computer vision. These techniques facilitate semantic interpretation of visual data, as it is required for a broad range of applications like robotics, driver assistance, multi-media retrieval, surveillance, etc. In this area, the recognition and detection of objects, activities, and visual categories have seen dramatic progress over the last decade. We will discuss the methods that have led to a state-of-the-art performance in this area and provide the opportunity to gather hands-on experience with these techniques.

Course Information

Semester:  SS

Year:  2024

Lecture start: Monday April 22 (please note the change in schedule for the first lecture)

Tutorial start:  Monday April 29



Lecture: Wednesdays 10:00 - 12:00  (start at 10:15)

Tutorial: Mondays 10:00 - 12:00


Location: E 1.5 002


Registration:     Please register in the CMS at https://cms.sic.saarland/hlcvss24/


Lecturer:                 Prof. Dr. Bernt Schiele

TAs:                          Sukrut Rao, Haoran Wang, Amin Parchami-Araghi

Office Hour:           Wednesday 9:00 AM - 10:00 AM, E1.4 024

Contacting TAs:    hlcv-ss24@mpi-inf.mpg.de (please only use this email ID for all email communication with the TAs) or the Forum.