Franziska Denk is an industrial PhD student and university assistant at the Computer Vision Lab at TU Wien, specializing in computer vision techniques for maritime imagery and video analysis. She is currently engaged in a project researching efficient methods for Video Object Detection.

Teaching Involvement

186.822      Introduction to Visual Computing     2026S

Education

2022-2024     MSc, Artificial Intelligence. Johannes Kepler University, Linz, Austria.
Master thesis: “Adversarial Robustness in the Context of Concept-based Bottleneck Models”.

2019-2022     BSc, Artificial Intelligence. Johannes Kepler University, Linz, Austria.

Publications

Franziska Denk, Christian Rankl, Shaban Almouahed, David Moser, Robert Sablatnig. “SeaClips: A Video Dataset for Maritime Object Detection”. WACV 2026 (accepted).

Posters (non-procedural)

Franziska Denk, David Moster, Christian Rankl, Robert Sablatnig. “Video Object Detection in Maritime Scenarios”. ICVSS 2025.

Franziska Denk, Katharina Hoedt, Gerhard Widmer. “Adversarial examples in the context of concept bottleneck models”. Women in Machine Learning Poster Session @ ICML 2024.