Seminars, projects and guided research

Courses

We offer a regular master seminar (4 CP) and project (8 CP) each semester. In addition, guided research (8-12 CP) can be performed at any time. Just contact us!

Topics

A broad range of topics is offered usually each semester. Selected topics include, but are not limited to:

Algorithms and methods for camera tracking, object recognition, pose estimation, etc.
Rigid and non-rigid 3D reconstruction
Virtual, Augmented, or Mixed Reality: Algorithms, applications, current trends
Computer Vision and mobile Augmented Reality on consumer devices
Realistic Rendering
Marker-less object detection, recognition and tracking in video sequences
Multi-target tracking
Marker-less human body tracking in video sequences
Deep Learning for Computer Vision: Theories and applications
Motion Estimation
Scene Understanding
Car interior perception
Range sensing
Medical applications, visual diagnostics
Current applications and trends
Etc.

Prerequisites

Students who plan to take a seminar or project should at least have successfully completed one of the following lectures:

Lecture "3D Computer Vision"
Lecture "2D Image Processing"
Lecture "Very Deep Learning"
Lecture "Advanced Topics in Computer Vision and Deep Learning

Seminar/Project "Computer Vision & Deep Learning"

Offered each semester, starting from SS23.

Seminar/Project "2D Image Processing & Augmented Reality"

Used to be offered each winter semester, last in WS22/23.

Seminar/Project "3D Computer Vision & Augmented Reality"

Used to be offered each summer semester, last in SS22.

Guided Research

Can be performed within one semester (like the project) with any topic from our field.
The amount of credit points (between 8 and 12) will be individually agreed upon with your supervisor.

Organization and Registration

Seminars and projects are usually performed throughout the semester.

We follow a 2-stage process for the assignments of topics. If you don't want to miss any information/update, please send a mail to av-seminar-projekt(at)dfki.de in order to subscribe to our mailing list. You will not receive an automatic reply upon subscription.

Stage 1: Open applications

Stage 1 for SS23 is closed!

We hope that you found a suitable topic. If not, please come to our kick-off meeting.

Stage 2: Distribution of remaining topics during/after the Kick-Off meeting

Stage 2 for SS23 will open after the kick-off meeting on April 17th.

If you want to perform a guided research, please contact us at any time with your proposition of a research topic.

Important Dates

Summer Semester 2023

Kick-Off: Monday, April 17th, 3.30 PM, at DFKI, room ZUSE (0.01)
Intermediate Presentation: June 27th, half a day
Final Presentation: September 19th, full day

Contacts

We prefer the communication via av-seminar-projekt(at)dfki.de.

Dr.-Ing. René Schuster

M. Eng. Yuriy Anisimov

Prof. Dr. Didier Stricker

Educational objectives of the seminar:

Ability to...

become acquainted with a specific topic from the respective field
review scientific articles
prepare and give a comprehensive presentation of a specific topic supported by media
discuss a scientific topic

Educational objectives of the project and guided research:

Ability to...

investigate, design, implement, and evaluate algorithms and methods in the respective area
review, analyze and benchmark algorithms and procedures
apply a programming language (e.g. C++, Python, ...)
become acquainted with and apply existing software libraries
apply development, source code management and testing tools

Requirements for certificate:

Intermediate presentation/demonstration of state and initial results and discussion round (~5 minutes + 5 minutes questions).
Final presentation/demonstration and discussion round (~15 minutes + 5 minutes questions).
Attendance of and contribution to all meetings.
Seminar: Written survey paper (8 pages) introducing the topic, describing the studied approach and discussing it (e.g. what are advantages/disadvantages, what are the requirements, under which conditions are good/bad results to be expected, what could be extensions/improvements, etc.).
Project: Written paper describing the project (no upper/lower page limit) and documented source code. The paper should be a scientific paper (no source code description), i.e. introduce the problem, your requirements, describe the approach, evaluate it, compare it.
Guided Research: Comparable to project. In addition, this should result in a scientific publication that could be submitted to a conference.
Documentation materials should be submitted at the day of the presentation (unless otherwise agreed upon with the individual supervisor). Please email the written report and presentation slides to your supervisor and to av-seminar-projekt(at)dfki.de.
For both, presentation and written paper, please use the provided templates and keep the evaluation criteria in mind.

Fachbereich Informatik

Fachgebiet Augmented Vision