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/Exercise: Tuesday, 19.03.19 - 28.05.19  10:15 - 11:45, B6 E-F 308
  • Lecture/Exercise: Thursday, 21.03.19 - 23.05.19  12:00 - 13:30, B6, 30-32, E-F, 209
  • Lecture/Exercise: Thursday, 21.03.19 - 23.05.19  13:45 - 15:15, A5,6, C015

No lecture on the 30th of April!

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

    19.03.2019 10:15 - 11:45 Introduction and general remarks
    21.03.2019 12:00 - 13:30 Matlat Intro (Exercise)
    26.03.2019 10:15 - 11:45 Basics of Image Processing
    28.03.2019 12:00 - 13:30 Ex.
    02.04.2019 10:15 - 11:45 Object Identification
    04.04.2019 12:00 - 13:30 Ex.
    04.04.2019 13:45 - 15:15 Bag of Visual Words
    09.04.2019 10:15 - 11:45 Bag of Visual Words continued / Part-Based Models
    11.04.2019 12:00 - 13:30 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