High-Level Computer Vision

High-Level Computer Vision

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Overview

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.

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Course Information

Semester:  Summer Semester

Year:  2026

Lecture: Wednesdays, 10:00 AM - 12:00 PM

Tutorial: Mondays, 10:00 AM - 12:00 PM

Location: E 1.5 (MPI-SWS) Room 002

First Lecture: April 8th 2026

First Tutorial:  April 10th 2026

 

Exam: August 7th 2026; HS I & HS II in E 2.5; 14:00-16:00

Re-exam: September 3rd 2026; HS I & HS II in E 2.5; 10:00-12:00

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Registration

Please register for the course in the CMS. If there are any issues, please write to hlcv-ss26@mpi-inf.mpg.de.

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Lecturer:                Prof. Dr. Bernt Schiele

TAs:                         Amin Parchami, Nhi Pham, Umut Kavakli, Muhammad Umar Javed

Office Hour:          Tuesdays 14:00 - 15:00, E1.4 (MPI-INF), Room 613

Contacting TAs:    hlcv-ss26@mpi-inf.mpg.de (please only use this email ID for all email communication with the TAs) or the Forum.