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, 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

    17.02.2020 12:00 - 13:30 Basics of Image Processing
    18.02.2020 10:15 - 11:45 Matlat Intro (Exercise)
    24.02.2020 12:00 - 13:30 Intro to Supervised Machine Learning
    25.02.2020 10:15 - 11:45 Ex.
    02.03.2020 12:00 - 13:30 Intro to Machine Learning cnd.
    03.03.2020 10:15 - 11:45 Ex.
    09.03.2020 12:00 - 13:30 Object Identification
    10.03.2020 10:15 - 11:45 Ex.
    11.04.2019 12:00 - 13:30 Bag of Visual Words /Part-Based Models
    11.04.2019 13:45 - 15:15 Ex.
    30.04.2019 10:15 - 11:45 NO LECTURE
    02.05.2019 12:00 - 13:30 Deep Learning Intro
    02.05.2019 13:45 - 15:15 CNNs
    07.05.2019 10:15 - 11:45 Object Detection
    09.05.2019 12:00 - 13:30 Semantic Segmentation
    09.05.2019 13:45 - 15:15 Ex. (Project Intro)
    14.05.2019 10:15 - 11:45 From Proposal Prediction to Instance Segmentation
    16.05.2019 12:00 - 13:30 RNNs
    16.052019 13:45 - 15:15 Ex.
    21.05.2019 10:15 - 11:45 Adversarial Networks
    23.05.2019 12:00 - 15:15 Project Presentations
    28.05.2019 10:15 - 11:45 Q&A
  • Literature

  • Software

    • Matlab
    • Python