Neuroinformatics Group

Universität Bielefeld › Technische Fakultät › NI

AGNI Theses

Deep Vision

 

Figure: Facebook AI [1]

 

This thesis / project will focus on practical applications of state of the art in computer vision [1][2] to detect objects and segment images [3][4][5][6]. 

[1] https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training)

[2] https://www.youtube.com/watch?v=h3ij3F3cPIk&pp=qAMBugMGCgJkZRAB

[3] https://youtu.be/SfqN-Hc5two?t=612

[4] https://www.aicrowd.com/challenges/food-recognition-challenge

[5] https://www.aicrowd.com/challenges/global-wheat-challenge-2021

[6] https://youtu.be/HS1wV9NMLr8

 

If you would like to know more about this thesis / project opportunity, please contact: Dr. Andrew Melnik <andrew.melnik(at)uni-bielefeld.de>

Attentive Interfaces, Computer Vision, Datamining, Neural Networks, active
Multi-agent dense traffic on complex railway networks

 This challenge tackles a key problem in the transportation world: How to efficiently manage dense traffic on complex railway networks? This is a real-world problem faced by many transportation and logistics companies around the world such as the Swiss Federal Railways and Deutsche Bahn. We are developing an AI agent capable of solving such problem. 

If you would like to know more about this thesis / project opportunity, please contact: 
Dr. Andrew Melnik <andrew.melnik(at)uni-bielefeld.de>
Attentive Interfaces, Datamining, Neural Networks, Software Tools, active
Deep Face Editing with StyleGAN

  Figure: animation of faces from old family photos using Deep Learning approaches

(source https://www.myheritage.com/deep-nostalgia)

This thesis / project will focus on practical applications of state of the art style generative adversarial network models (StyleGAN) [see References here].

If you would like to know more about this thesis / project opportunity, please contact: Dr. Andrew Melnik <andrew.melnik(at)uni-bielefeld.de>

Attentive Interfaces, Computer Vision, Neural Networks, Software Tools, active
Physical Reasoning Artificial Intelligence

 Try to solve the following physical puzzles to get an idea about this thesis / project: https://brainitongame.com  and  https://phyre.ai

We are developing an AI agent capable of solving such physical reasoning tasks. If you would like to know more about this thesis / project opportunity, please contact: 
Dr. Andrew Melnik <andrew.melnik(at)uni-bielefeld.de>

Attentive Interfaces, Cognitive Robotics, Computer Vision, Neural Networks, Software Tools, active
Game of Drones

[1] https://www.aicrowd.com/challenges/tartanair-visual-slam-mono-track

We are developing an AI agent for drone control capable of solving SLAM-related problems [1] in environments with challenging features such as changing light conditions, low illumination, adverse weather, and dynamic objects. If you would like to know more about this thesis / project opportunity, please contact: Dr. Andrew Melnik <andrew.melnik(at)uni-bielefeld.de>

Attentive Interfaces, Computer Vision, Neural Networks, active
Visualisierung multi-modaler Daten aus dem Smartphone-basierten Langzeit-Monitoring von Patienten mittels H2SOM
Im Rahmen eines EU-Projektes  ist ein Smartphone-basiertes System zur Unterstützung der Diagnose und Therapie von Patienten mit bipolaren Störungen (manisch-depressive) entwickelt worden.
Attentive Interfaces, Neural Networks
Szenen Segmentierung zur Entwicklung eines dynamischen Brain-Computer Interface
Es soll für ein robotisches Greifsystem eine Anbindung an ein Brain-Computer Interface erstellt werden, die, basierend auf der jeweiligen Szene, verschiedene Auswahlmöglichkeiten anbietet.   
Attentive Interfaces, Cognitive Robotics, Computer Vision
Integration multimodaler Tracking-Daten

In vielen Untersuchungsszenarien werden Augen- und Körperbewegungen von Probanden simultan erfaßt, oft liegt jedoch kein gemeinsames raum-zeitliches Bezugssystem zugrunde. Ziele der Arbeit sind die Überführung der verschiedenen Daten in ein solches System und die integrative Datenvisualisierung.

Attentive Interfaces

Login

Neuroinformatics Group 2017

© 2017 Universität Bielefeld