Informatik Praktika

Evaluating Augmented Reality Frameworks for Real-time On-device Product Recognition

Status: open Supervisor: Martin Kampel, Julian Strohmayer Problem Statement: The ever growing product assortments of supermarkets present consumers with interesting challenges. For example, it is often difficult for health- or environmentally-conscious consumers to filter out products that are in line with their personal values from the overabundance of products. To support these consumers, mobile applications … Continue reading Evaluating Augmented Reality Frameworks for Real-time On-device Product Recognition

Selected Topics in Active Assisted Living in collaboration with a company

The following topics are part of our collaboration with Cogvis Gmbh, For processing deep learning networks, Cogvis as well as CVL have powerful hardware available which can be used. All Master students get an internal company supervisor who is responsible for the topic and the guidance of the students. A renumeration and/working place is possible. … Continue reading Selected Topics in Active Assisted Living in collaboration with a company

GESICHTSERKENNUNG IN DER FOTOSAMMLUNG DES THEATERMUSEUMS WIEN

Problem Statement Status: vergebenSupervisor: Martin Kampel Das Theatermuseum Wien beherbergt ca. eine halbe Million Fotos. Davon wurden rund 80.000 digitalisiert und sind vor 1940 entstanden. Von vielen Dargestellten wissen wir die Namen. Aber von ebenso vielen haben wir keine Informationen. Vor allem Statist*innen, Tänzer*innen und Nebenschauspieler*innen sind heute oft schwer zu eruieren.Die Aufgabe besteht nun … Continue reading GESICHTSERKENNUNG IN DER FOTOSAMMLUNG DES THEATERMUSEUMS WIEN

Bee polls recognition and quantity estimation

Status: finishedSupervisor: Martin Kampel   Problem Statement In the project MIC-Cam a system for the automated detection of mites was developed. It monitors the bees by camera when departing and landing at the flight board of the bee hive to recognise attached mites in real time without restricting the bees. We apply innovative methods of digital … Continue reading Bee polls recognition and quantity estimation

Vehicle Detection in a Sequence of SAT Images

Problem Statement Object detection is a very important and still unsolved problem in object recognition. For example, the problem becomes challenging in aerial imaging and remote sensing as the scenes and the data differ significantly from the case usually considered in computer vision. The aim of this thesis is to study vehicle detection for a … Continue reading Vehicle Detection in a Sequence of SAT Images

Allgemeine Hinweise zu Bachelorarbeiten und Praktikas

Zeugnis 183.583 9.0/6.0 PR: Praktikum aus Visual Computing oder 193.078 6.0/4.0 PR: Praktikum aus Visual Computing 1 193.079 6.0/4.0 PR: Praktikum aus Visual Computing 2 oder 183.582 10.0/5.0 PR: Bachelorarbeit für Informatik und Wirtschaftsinformatik Inhalt Lösung vorwiegend praktischer Aufgaben der Informatik unter Einsetzung wissenschaftlicher Methoden. Hierzu gehört insbesondere die Methodenauswahl und die Diskussion von Lösungsansätzen, … Continue reading Allgemeine Hinweise zu Bachelorarbeiten und Praktikas

Evaluating different transformer architectures for cell classification in Flow Cytometry Data 

Supervisor: Michael Reiter  Background  Flow Cytometry is a laser-based technique to measure antigen expression levels of blood cells. It is used in research as well as in daily clinical routines for immunophenotyping and for monitoring residual numbers of cancer cells during chemotherapy. One patient’s sample contains approximately 50-300k cells (also called events) with up to … Continue reading Evaluating different transformer architectures for cell classification in Flow Cytometry Data 

Multi-step classification of flow cytometry cell data with set transformers 

Supervisors: Michael Reiter, Matthias Wödlinger, Florian Kowarsch Background  Flow Cytometry is a laser-based technique to measure antigen expression levels of blood cells. It is used in research as well as in daily clinical routines for immunophenotyping and for monitoring residual numbers of cancer cells during chemotherapy. One patient’s sample contains approximately 50-300k cells (also called … Continue reading Multi-step classification of flow cytometry cell data with set transformers 

Designing efficient Data Augmentation Strategies for Flow Cytometry Data 

Supervisor: Michael Reiter  Background  Flow Cytometry is a laser-based technique to measure antigen expression levels of blood cells. It is used in research as well as in daily clinical routines for immunophenotyping and for monitoring residual numbers of cancer cells during chemotherapy. One patient’s sample contains approximately 50-300k cells (also called events) with up to … Continue reading Designing efficient Data Augmentation Strategies for Flow Cytometry Data 

CNN based classification of Flow Cytometry Data

Supervisor: Michael Reiter, Florian Kowarsch Background  Flow Cytometry is a laser-based technique to measure antigen expression levels of blood cells. It is used in research as well as in daily clinical routines for immunophenotyping and for monitoring residual numbers of cancer cells during chemotherapy. One patient’s sample contains approximately 50-300k cells (also called events) with … Continue reading CNN based classification of Flow Cytometry Data