Photo credit: Anna Logue

Higher Level Computer Vision

Contents

In this course, we teach the fundamentals of Computer Vision.

Time and Location

This semester, the course will start late and be taught in 6 hours a week.

  • Lecture: Tuesday, 19.03.19 - 28.05.19  10:15 - 11:45, B6 E-F 308
  • Lecture/Exercise: Thursday, 21.03.19 - 23.05.19  13:45 - 15:15, tba
  • Exercise: Thursday, 21.03.19 - 23.05.19 12:00 - 13:30 B6  A 204

Final mark

  • Exam

Participation

  • The course is open to students of the Master Business Informatics and Mannheim Master in Data Science (MMDS). 
  • The course is restricted to 30 participants.
  • Places are assigned on first come/first serve basis.
  • Students register for the course by email to me.
  • Requirements

    • Basics in linear algebra are beneficial for the lecture
  • Outline

    Week

    Topic

    19.03.2019 Introduction and general remarks
    26.03.2019 Basics of Image Processing
    26.03.2019 Object Identification
    02.04.2019 Bag of Visual Words
    02.04.2019 Part-Based Model
    09.04.2019 Deep Learning Introduction
    09.04.2019 Convolutional Neural Networks
    30.04.2019 Object Detection
    30.04.2019 Semantic Segmentation
    07.05.2019 From Proposal Prediction to Instance Segmentation
    07.05.2019 Recurrent Neural Networks
    14.05.2019 Adversarial Networks, Optical Flow Estimation
    21.05.2019 Unsupervised Deep Learning
    28.05.2019 Q&A
  • Literature

  • Software

    • Matlab
    • Python