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 Object Detection
    11.05.2021 Ex.
    17.05.2021 From Proposal Prediction to Instance Segmentation
    18.05.2021 Project Intro.
    24.05.2021  ----
    25.05.2021 Optical Flow and Video Data
    31.05.2021 Adversarial Netowrks
    01.06.2021 Ex
    07.06.2021 Adversarial networks
    08.06.2021 Project Presentations

    14.06.2021

    15.06.2021

     

    Unsupervised Learning

    Q&A

  • Literature

  • Software

    • Matlab
    • Python