High-Level Computer Vision

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.

Course Information

Semester:  SS

Year:  2025

Lecture start: Wednesday April 9

Tutorial start:  Monday April 14

Time:

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

Tutorial: Mondays 10:00 - 12:00

Location: E 1.5 002

Registration:    

Lecturer:                 Prof. Dr. Bernt Schiele

TAs:                          Amin Parchami-Araghi

Office Hour:           Tuesday 10:00 AM - 11:00 AM, E1.4 629

Contacting TAs: