Foto: Anna Logue

Higher Level Computer Vision

Contents

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

Time and Location

  • Lecture/Exercise: Monday, 17.02.20 - 25.05.20  12:00 - 13:30, C014
  • Lecture/Exercise: Tuesday, 11.02.20 - 26.05.20 10:15 - 11:45  C -109 PC Pool

first Lecture will be on Tuesday, 11.02.!

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

    Time

    Topic

    17.02.202012:00 - 13:30Basics of Image Processing
    18.02.202010:15 - 11:45Matlat Intro (Exercise)
    24.02.202012:00 - 13:30Intro to Supervised Machine Learning
    25.02.202010:15 - 11:45Ex.
    02.03.202012:00 - 13:30Intro to Machine Learning cnd.
    03.03.202010:15 - 11:45Ex.
    09.03.202012:00 - 13:30Object Identification
    10.03.202010:15 - 11:45Ex.
    16.03.202012:00 - 13:30Bag of Visual Words /Part-Based Models
    17.03.202010:15 - 11:45Ex.
    23.03.202012:00 - 13:30Part-Based Models
    24.03.202010:15 - 11:45Ex
    30.03.202012:00 - 13:30CNNs
    31.03.202010:15 - 11:45Ex
    20.04.202012:00 - 13:30CNNs continued
    21.04.202010:15 - 11:45Ex
    27.04.202012:00 - 13:30From Proposal Prediction to Instance Segmentation
    28.04.202010:15 - 11:45Ex Project Intro
    04.05.202012:00 - 13:30Optical Flow and Video Data
    05.05.202010:15 - 11:45Ex
    11.05.202012:00 - 13:30Adversarial Netword
    12.05.202010:15 - 11:45Ex
    18.05.202012:00 - 13:30Unsupervised Learning
    19.05.202010:15 - 11:45Ex
    25.05.201912:00 - 13:30Project Presentations
    26.05.201910:15 - 11:45Q&A
  • Literature

  • Software

    • Matlab
    • Python