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Status: available Supervisors: Marco Peer The digitization and preservation of historical documents rely on accurate transcription of handwritten text. However, historical documents often present unique challenges due to variations in writing styles and deteriorated conditions.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Text Recognition (HTR) systems, focusing … Continue reading Writer Adaption for Handwritten Text Recognition of Historical Documents →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 →
Course description The lecture will cover advanced computer vision methods in depth: • Texture, Scenes, und Context • Local- and Multiscale Representations • Interest Points, Corners • Scene Emergent Features • Scene Recognition, Bag of Words, SIFT • Clustering, Pyramid Matching, Support Vector Machine • Deep Learning, CNNs • Perceptron, Linear Basis Function Models, RBF … Continue reading Grundlagen der Computer Vision →
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 →
Status: taken Supervisor: Margrit Gelautz The Computer Vision Lab at TU Wien announces a research position for a Diploma/Master Student to work on the “SyntheticCabin” project starting in March 2023 (or later). We are looking for a highly motivated diploma/master student of Informatics (or related studies) with a background in computer vision and machine … Continue reading Diploma Thesis – Assisted/Automated Driving →
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 →
