Photo credit: Anna Logue

Higher Level Computer Vision

Contents

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

Time and Location

  • Lecture/Exercise: Monday, 08.03.21 – 14.06.21  12:00 – 13:30 (see Portal2 for the zoom link)
  • Lecture/Exercise: Tuesday, 02.03.21 – 15.06.21 10:15 – 11:45  (see Portal2 for the zoom link)

first Lecture will be on Tuesday, 02.03.!

Final mark

  • Exam (oral)

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

    Date

     

    Topic

    02.03.2021 Intro and Organization
    08.03.2021 Basics of Image Processing
    09.03.2021 Matlab Intro
    15.03.2021 Object Identification
    16.03.2021 Ex.
    22.03.2021 Interest Point Detection /Image Alignment
    23.03.2021 Ex.
    12.04.2021 Bag of Visual Words /Part-Based Models
    13.04.2021 Ex.
    19.04.2021 Part-Based Models
    20.04.2021 Ex.
    26.04.2021 CNNs
    27.04.2021 Ex.
    03.05.2021 CNNs continued
    04.05.2021 Ex.
    10.05.2021 From Proposal Prediction to Instance Segmentation
    11.05.2021 Ex.
    17.05.2021 Optical Flow and Video Data
    18.05.2021 Project Intro.
    24.05.2021 Adversarial Networks
    25.05.2021 Ex.
    31.05.2021 Adversarial Netowrks continued
    01.06.2021 Ex
    07.06.2021 Unsupervised Learning
    08.06.2021 Project Presentations
    14.06.2021 Q&A
  • Literature

  • Software

    • Matlab
    • Python