The Computer Vision Lab at TU Wien announces a research position for a Diploma/Master Student to work on the “UNISCOPE-3D” project starting in May 2026 (or later). We are looking for a highly motivated diploma/master student of Informatics or Electrical Engineering (or other related studies such as Mathematics) with a background in computer vision and machine learning and a strong … Continue reading Diploma thesis on human action recognition for driver monitoring →
Master Thesis Status: open Supervisor: Martin Kampel Automated Material and Damage Detection in Buildings using Computer Vision The goal of this thesis is to develop and evaluate computer vision and machine learning methods for the digital inventory of buildings. The focus is on the automated recognition of building materials as well as the detection and … Continue reading Automated Material and Damage Detection in Buildings using Computer Vision →
Master Thesis Status: closed Supervisors: Martin Kampel, Irene Ballester Build AI for Archaeological Discovery at a UNESCO World Heritage Site Work with real data from Roman Carnuntum (70,000+ pottery drawings) to create classification tools that archaeologists will actually use. Your work will contribute to ongoing Heritage Science research in Austria. Context This thesis tackles a … Continue reading Feature Learning and Clustering for Archaeological Pottery Typology →
Location: Seminarraum FAV 01 A (Seminarraum 183/2), in person 1st Meeting: Wednesday March 4th, 2026; 10:00 – 12:00 Further Information: TISS und TUWEL In this course, the analysis of image sequences (videos, depth and thermal data) is dealt with in depth: this includes the topics of sensor technology, motion detection, object tracking, scene reconstruction and … Continue reading Scene Understanding and Surveillance →
The Computer Vision Lab at TU Wien announces a research position for a Diploma/Master Student to work on the “EmpathicVehicle” project starting in January 2026 (or later). We are looking for a highly motivated diploma/master student of Informatics or Electrical Engineering (or other related studies such as Mathematics) with a background in computer vision and machine learning and a strong … Continue reading Diploma thesis on human action and emotion recognition for an Empathic Vehicle →
Diplomarbeit/Master thesis Supervisor: Martin Kampel Status: open Motivation Real estate management systems like metamagix.ICRS handle increasingly complex and diverse data streams, including rent rolls, accounting data, contracts, and unstructured documents. Traditional data processing methods often struggle with the heterogeneity of this information, leading to inefficiencies in data classification, normalization, and analysis. The initial implementation of RAG … Continue reading Enhancing RAG/LLM Solutions for Real Estate Data Processing →
Supervisors: Florian Kleber, Christian Stippel Status: taken Problem Statement Historical images, such as digitized photographs, manuscripts, maps, or scientific records, often suffer from degradation due to aging, storage conditions, or limitations in early imaging technologies. Common degradations include noise, fading, blur, physical damage, and low resolution. These artifacts hinder the readability, analysis, and digital preservation … Continue reading Image Restoration Using Deep Learning →
Diplomarbeit/Master thesis Supervisor: Martin Kampel Status: open Motivation Speech recognition has achieved impressive performance for major world languages such as English, Mandarin, or Spanish. However, many languages with smaller speaker communities suffer from a lack of resources for training accurate models. In various scenarios, multilingual speech interfaces can play an important role—e.g. in automated translation, command … Continue reading Multilingual Speech Recognition for Low-Resource Languages →
Project/Bachelor thesis Supervisor: Martin Kampel Status: closed MotivationAutomated recognition of visual symbols is a central topic across many application areas, including intelligent goods tracking, digital marketing, and the protection of intellectual property and trademark rights. Symbol recognition is also particularly relevant in identifying extremist symbols (e.g., Nazi symbols or terrorist organization logos) on digital platforms for … Continue reading Symbol Recognition in Images and Videos – Robust Methods for Complex Scenarios →
Project/Bachelor thesis Supervisor: Martin Kampel Status: open Motivation Every day, enormous amounts of image and video content are uploaded to platforms like YouTube, Instagram, or X (formerly Twitter). Among this content — depending on the platform and moderation policies — are also materials containing nudity, pornography, or other explicit material. Such content not only violates the … Continue reading AI-Based Detection of Explicit Content in Image and Video Data →