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 lead to 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:  2020

Lecture start: Wednesday May 6

Tutorial start:  Monday May 11

 

Time:

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

tutorial: Mondays 10:00 - 12:00

Location:

announced on the email list

 

Mailing List: send an email with your matriculation number and full name to rshetty@mpi-inf.mpg.de with [hlcv-subscribe] in the subject.

Exam: October 27 / 28

Registration: send an email to rshetty@mpi-inf.mpg.de with [hlcv-exam registration] in the subject.

 

Lecturer(s):   Prof. Dr. Bernt Schiele and Prof. Dr. Mario Fritz

TA(s):              Rakshith Shetty (office hour: Tuesdays 15:30 -17:30 E 1.4 room 628)

                        Sahar Abdelnabi