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: (tentative) Wednesdays, 10:00 AM - 12:00 PM

Tutorial: (tentative) Mondays, 10:00 AM - 12:00 PM

Location: (tentative) E 1.5 (MPI-SWS) Room 002

First Lecture:  TBD

First Tutorial:  TBD

 

Exam: TBD

Re-exam: TBD

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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:          TBD

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