D2
Computer Vision and Machine Learning

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:  2021

Lecture start: Wednesday April 14

Tutorial start:  Monday April 19

 

Time:

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

tutorial: Mondays 10:00 - 12:00

 

Location: announced on the email list

 

Registration:   https://cms.sic.saarland/hlcvss21/students/register

or send an email with your matriculation number and full name to yaoyao.liu[at]mpi-inf.mpg.de with [hlcv-subscribe] in the subject.

 

Exam: August 11, September 8, October 6, October 7

 

Exam Registration: https://cms.sic.saarland/hlcvss21/4/Oral_Exam_Information

 

Lecturer(s):   Prof. Dr. Bernt Schiele

TA(s):              Farzaneh Rezaeianaran (office hour: Wednesday 9 am - 10 am, contact by email frezaeia[at]mpi-inf.mpg.de)

                        Yaoyao Liu (office hour: Tuesday 9 am - 10 am, contact by email yaoyao.liu[at]mpi-inf.mpg.de)

                        You may send emails to both TAs using this mailing list: hlcv-ss21@lists.mpi-inf.mpg.de