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Computer Vision W21/22
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Description

Content

In this course, "computer vision" will primarily focus on the recognition of objects or events in images. The lecture will be split into classical CV algorithms and modern solutions based on neural networks. 

1.Introduction
2.Edge Detectors
3.Histograms
4.Optic flow
5.Hough Transform
6.SIFT / SURF
7.Introduction to Neural Information Processing
8.Convolutional Neural Networks
9.Image Classification, Object Detection
10.Semantic Segmentation
11.Pose Estimation
12.Vision Transformers
13.Recurrent Neural Networks, Image Captioning
14.Generative Models
15.Unsupervised feature extraction
 

Lecture Format

Lecture videos in English will be uploaded to YouTube and we will discuss the content and answer your questions on Wednesday, 10 - 12 am. 
 
 

Lecture Videos

We will upload new lectures to this playlist:

https://www.youtube.com/playlist?list=PLs7Vp-pCDX7yrUmgkxAEdNcgriOU6IBg5 

Lecture PDFs

You can download the lecture PDFs for your convenience here: 

https://drive.google.com/drive/folders/1rhSOIYs2kaET4aW0LLmv8CeqqmRwfpGK?usp=sharing

We would like you to give us feedback on typos, errors, weird formulations and anything else that needs to be changed. If you own a google account you can comment directly on the slides. Thank you!

Link to the Assignments repository

 
Invitation Link for Eduflow (Peer review platform)
 
 
Please upload your bi-weekly solutions here as well (also once per group). When all solutions are uploaded, another group will review your solution. You should therefore review one submission yourself.
 
Basic Course Info
Course No Course Type Hours
19315501 Vorlesung 2
19315502 Übung 2
Time Span 20.10.2021 - 06.04.2022
Instructors
Tim Landgraf
Manuel Heurich
Study Regulation
0086c_k150 2014, BSc Informatik (Mono), 150 LPs
0086d_k135 2014, BSc Informatik (Mono), 135 LPs
0087d_k90 2015, BSc Informatik (Kombi), 90 LPs
0088d_m60 2015, MSc Informatik (Kombi), 60 LPs
0089b_MA120 2008, MSc Informatik (Mono), 120 LPs
0089c_MA120 2014, MSc Informatik (Mono), 120 LPs
0207b_m37 2015, MSc Informatik (Lehramt), 37 LPs
0208b_m42 2015, MSc Informatik (Lehramt), 42 LPs
0458a_m37 2015, MSc Informatik (Lehramt), 37 LPs
0471a_m42 2015, MSc Informatik (Lehramt), 42 LPs
0511a_m72 2016, MSc Informatik (Lehramt), 72 LPs
0511b_m72 2019, M-Ed Fach 2 Informatik (Lehramt an Gymnasien - Quereinstieg), 72 LP
0556a_m37 2018, M-Ed Fach 1 Informatik (Lehramt an Integrierten Sekundarschulen und Gymnasien), 37 LPs
0557a_m42 2018, M-Ed Fach 2 Informatik (Lehramt an Integrierten Sekundarschulen und Gymnasien), 42 LPs
0590a_MA120 2019, MSc Data Science, 120 LP
0590b_MA120 2021, MSc Data Science, 120 LP

Computer Vision W21/22
to Whiteboard Site

Main Events
Day Time Location Details
Wednesday 10-12 Online 2021-10-20 - 2022-02-16
Accompanying Events
Day Time Location Details
Thursday 12-14 Online Übung 01

Computer Vision W21/22
to Whiteboard Site

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Computer Vision W21/22
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