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 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:  2017

Lecture start:  Wed. 19.04.

Time and Location:

lecture: Wednesdays 14:00 - 16:00 room 024 (start at 14:15)

             On 24.05. the lecture will move to room 023

tutorial: Wednesdays 08:00 - 10:00 room 024 (start at 8:30)

              On 24.05. and on 21.06. the tutorial will move to room 023

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


Lecturer(s):   Prof. Dr. Bernt Schiele

                         Dr. Mario Fritz

TA(s):  Seong Joon Oh (Office hour: Wednesdays 13:00-14:00)

             Alina Dima (Office hour: Wednesdays 16:00-17:00)

             Rakshith Shetty (Office hour: Thursdays 14:00-15:00)


Exam: two slots for oral exam available: August 16th and September 11th.

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