Marvin Burges

Marvin Burges is a PreDoc Researcher at the Department of Computer Vision within the Faculty of Informatics at TU Wien. His research focuses on applying computer vision and machine learning techniques to historical aerial imagery, with a particular emphasis on object detection, semantic classification, and interactive analysis. He is actively involved in the DoRIAH project (2020–2024), exploring applications such as bomb crater detection and semi-automated object recognition in archival materials.

Burges teaches courses including 3D Vision and Introduction to Visual Computing. His work bridges historical preservation, geospatial analysis, and modern AI methods, with publications in venues like GeoSearch, IEEE WACV, and OAGM workshops. His methodologies include self-supervised learning, vision-language models, and human-in-the-loop systems to enhance the interpretability of legacy datasets.

Key technical contributions include developing algorithms for historical aerial image classification, crater detection, and novel class identification in remotely sensed imagery. His research addresses challenges in digitizing and analyzing large-scale historical archives through interdisciplinary approaches.