Supervisors: Florian Kleber Status: open Before digital indexing any documentation in Vienna was stored on handwritten papers (little use of typewriters before 1930s). The  University Library (Former Central Library of Austria-Hungary) has – documents over 250 years of science history These are currently inaccessible due to size and lack of indexing, and thus ~ 1.14 … Continue reading Indexing Libraries – Indexing Heritage →

Supervisors: Florian Kleber Status: open The human eye is sensitive to electromagnetic radiation in a limited range; depending on the amount of radiation entering the retina and individual sensitivity of the observer, a lower bound between 360 nm and 400 nm and an upper bound between 760 nm and 830 nm are assumed. Multispectral (MS) … Continue reading Multispectral Image Registration →

Supervisor: Martin Kampel Status: closed Motivation The Coin Collection of the Kunsthistorisches Museum Wien (KHM) is one of the five largest and most important coin collections in the world. With some 600,000 objects from three millennia, it contains not only coins, but also paper money, medallions, orders, etc. For research the collection is currently organized … Continue reading Database for numismatic collection of KHM →

The CVL offers bachelor/master theses or student projects in the domain of deep-learning-based document analysis for papyri. Supervisor: Marco Peer Status: taken First Picture: Vesuvius Challenge Second Picture: Peer and Sablatnig, HIP’23 Third picture modified from FAU Erlangen Motivation Greek papyri, ancient documents made from a type of paper, offer valuable insights into the past. … Continue reading Deep Learning for Papyri →

Internship/Master Thesis Status: closed Supervisors: Martin Kampel Problem Statement Care work in long-term care (LTC) is considered as a genuine human-centred activity, requiring empathy, emotional investment, physical encounters and intimate, trust-based relations between various care-givers and care-recipients. AI technologies are introduced in this professional field to assist care workers in their daily activities and provide an … Continue reading Bias and Explainability in Long Term Care (LTC) →

Master Practical Training Project Status: not available Supervisors: Irene Ballester, Martin Kampel Problem Statement This project aims to address the challenges associated with the expensive and time-consuming annotation of 3D data by exploring a self-supervised approach for the extraction of 4D spatio-temporal features from dynamic point cloud data. Specifically, the project investigates the prediction of the … Continue reading Self-Supervised 4D Point Cloud Feature Learning for Activity Recognition →

Master Practical Training Project/ Master’s thesis Status: available  taken (but if you would like to work on a similar topic, contact Irene Ballester) Supervisors: Irene Ballester, Martin Kampel Problem Statement Human Activity Recognition (HAR) in computer vision, a pivotal area for healthcare, security, and robotics, often relies on privacy-invading RGB cameras. To enhance HAR accuracy while … Continue reading Human Activity Recognition from Real-World Depth Images →