Seminar: Projects in deep computer vision - Details

Allgemeine Informationen

Veranstaltungsname	Seminar: Projects in deep computer vision
Untertitel
Veranstaltungsnummer	8.3545
Semester	SoSe 2022
Aktuelle Anzahl der Teilnehmenden	27
Heimat-Einrichtung	LE Cognitive Science
Veranstaltungstyp	Seminar in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin	Montag, 04.04.2022 10:00 - 12:00, Ort: 93/E12
Art/Form
Art der Durchführung	Präsenz-Sitzungen ohne Video-Aufzeichnung [präsenz]
SWS	2
Sprache	Englisch
ECTS-Punkte	4

Lehrende

• Axel Schaffland, M. Sc.

Tutor/-innen

• Dr. rer. nat. Mats Leon Richter
• Leila Malihi, M. Sc.
• Ulf Krumnack, Ph.D.

Räume und Zeiten

93/E12

Montag: 10:00 - 12:00, wöchentlich (12x)

Studienbereiche

• Veranstaltungen > Cognitive Science > Master-Programm
• Veranstaltungen > Cognitive Science > Bachelor-Programm

Modulzuordnungen

• Bachelor of Science Informatik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Master of Science Mathematik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20

Kommentar/Beschreibung

## Content and Goal
In this class you will work on your own project covering topics in deep computer vision either alone or in a group. In the beginning we will plan the projects and incorporate your ideas. We will use the weekly meetings for brief summaries on what you are currently working on and discuss problems and solutions you have encountered.

Possible topics could be (medical) image registration, (sign language) classification, image enhancement...

By the end of you will have completed a computer vision projected based on deep learning and will have documented it -- possibly in form of a thesis or maybe a paper. You will learn how to work on a project, communicate problems, ask for help, and work together to find solutions.

The seminar stems from a previous seminar in the last semester.

## Target Audience
1. Students doing their Bachelor/Master/Ph.D. thesis in computer vision employing deep learning.
2. Students wanting to do a larger project in computer vision employing deep learning. Larger meaning more than in a seminar and less than a studyproject.

## Grading
If you participate with a *standalone* project your grade will be based on your project, documentation and your participation in the weekly meetings.

If you take this seminar for your thesis, no credit/grade can be given.