Computer Vision and Machine Learning

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:  2023

Lecture start: Wednesday April 12

Tutorial start:  Monday April 17



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

Tutorial: Mondays 10:00 - 12:00


Location: E 1.4 024

exception on Monday May 8: E 1.4 021

exception on Wednesday May 10: E 1.5 029


Registration:     Please register in the CMS page of the course: https://cms.sic.saarland/hlcvss23/


Lecturer:           Prof. Dr. Bernt Schiele

TA(s):                 Sukrut Rao (email: sukrut.rao[at]mpi-inf.mpg.de, office hour: Wednesday 9:00 AM - 10:00 AM, E1.4 024)

                           Soumava Paul (email: spaul[at]mpi-inf.mpg.de)

                           Amin Parchami-Araghi (email: mparcham[at]mpi-inf.mpg.de)