Supervisor: Michael Reiter, Florian Kleber Start: as soon as possible Problem Statement A herbarium is a collection of preserved plant specimens with information from the collector and additional data. The Herbarium of the Natural History Museum in Vienna (W) was established in 1807 and is now ranked amongst the top five botanical collections in the … Continue reading Automated Analysis of NHM Herbarium Collection
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
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
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
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
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
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
Anmeldung via TISS. Erstbesprechung: 2. März 09:00 mit der VO Übungsablauf TeilnehmerInnen lösen individuelle Aufgaben. Es gibt keinen regelmäßigen Übungstermin, der LVA-Leiter steht aber für individuelle Terminvereinbarungen zur Verfügung (Beantwortung von Fragen, allgemeine Beratung, Besprechung des Programm-Codes usw.). Es gibt jedoch einen Termin zur Präsentation der Aufgabenstellung, einen Termin zur Zwischenpräsentation und einen für die … Continue reading Scene Understanding and Surveillance (UE)
Vorlesung: Mittwoch, 1. 3.2023, 09.00-10.00 Uhr c.t. (Vormals: Video Analysis) Ort: Seminarraum FAV 01 A (Seminarraum 183/2) Beginn: 1.3.2023 (Vorbesprechung der VO und LU) Weitere Informationen: TISS und TUWEL In dieser LVA wird die Analyse von Bildfolgen (Videos, Tiefen- und Thermaldaten) vertiefend behandelt: dazu gehören die Themengebiete Sensorik, Bewegungserkennung, Objektverfolgung, Szenen-Rekonstruktion und Performance Evaluation. Fragestellungen … Continue reading Scene Understanding and Surveillance
The enhancement of document images describes the task of improving the visual quality of document images. Thus, degradations (like background clutter or uneven illumination) can be removed. Enhancement can be used as a preprocessing step for further document image analysis methods – including text recognition. Goal The aim of this internship is to select an … Continue reading Document image enhancement