Master Practical Training Project/ Master’s thesis Status: available 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 safeguarding privacy, this project employs deep neural networks (GNN, CNN, transformers) with point clouds or … Continue reading Human Activity Recognition from Real-World Depth Images →

Status: available Supervisors: Martin Kampel   Abbildungen von Kunstgegenständen finden wir in Internetdatenbanken von Auktionshäusern, Kunstsammlern, Museen, aber auch in Sozialen Medien wie Facebook oder Instagram. Diese Abbildungen können professionell erstellt worden sein, oder durch eine Handyaufnahme eines Betrachters. Es kann sich um Kopien von Abbildungen handeln, oder von einer Darstellung originaler Kunst. Gemälde, chinesische … Continue reading A(RT)I – Finding and Recognizing Artwork →

Status: available Supervisors: Marco Peer The digitization and preservation of historical documents rely on accurate transcription of handwritten text. However, historical documents often present unique challenges due to variations in writing styles and deteriorated conditions. This thesis should explore the concepts of writer identification and writer-specific style extraction within Handwritten Text Recognition (HTR) systems, focusing … Continue reading Writer Adaption for Handwritten Text Recognition of Historical Documents →

Status: available Supervisors: Marco Peer, Florian Kleber Deep-learning-based methods for writer retrieval make use of sampling local characteristics of handwriting, for example using patches extracted at SIFT keypoint locations(see Figure 1), to learn discriminative features. To compute a global page descriptor of those local embeddings, state-of-the-art methods rely on fixed aggregation functions, e.g. sum/average pooling … Continue reading Learning Aggregation Functions for Writer Retrieval →

Status: open Supervisor:  Robert Sablatnig Carpacity is a young company from Vienna that has recently finished a research project with the Institute of Spatial Planning at TU Wien. They use traffic sensors and LED walls to change how road traffic is analysed and stimulated. Its mission is to accelerate the decarbonisation of how people move … Continue reading Car Occupants Counting from Near-Infrared Photos →

Status: taken Supervisor: Sebastian Zambanini Problem Statement The INDIGO project aims to document and analyze the graffiti along Vienna’s Donaukanal. However, indexing graffiti images by written text is a time-consuming task. Hence, a system which provides automatic guesses for written text would be highly beneficial. Goal The goal of this work is to explore and … Continue reading Text Recognition in Graffiti Images →

Status: taken Supervisor: Sebastian Zambanini Problem Statement The INDIGO project aims to document and analyze the graffiti along Vienna’s Donaukanal. One of the main problems faced is monitoring new graffiti. Instead of solely relying on Instagram and human memory, an automatic change detection between images from different time stamps can support the monitoring process. Goal … Continue reading Change Detection in Graffiti Images →

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 →