Higher Level Computer Vision

Contents

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

Time and Location

  • Lecture: Tuesday, 12:00 to 13:30, B6 A3.05, Start: 10.10.2023
  • Exercise: Thursday, 13:45 to 15:15, B6 A3.05, Start: 12.10.2023

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 (keuper@uni...).
  • Requirements

    • Basics in linear algebra are beneficial for the lecture
  • Outline

    Week

    Lecture

    Exercise

    09.10.2023Intro and Organization--
    16.10.2023Basics of Image ProcessingEx1 – Image Processing
    23.10.2023Object Identification – Toy CaseEx2 – Object Identification
    30.10.2023DNNsEx3 – Image Classification
    06.11.2023CNNsEx4
    13.11.2023CNNs

    additional Lecture and Discussion Session (maybe remote, tbd.)

    Vision Transfomers (short Intro)

    20.11.2023Object Detection  Ex5
    27.11.2023Segmentation & Optical Flow

    additional remote Lecture and Discussion Session

    Semi-Supervised Learning

    04.12.2023Self-Supervised Pre-TrainingQ & A
  • Literature