Hannah Frank
Background
2023 - 2024
Research Assistant at the Department of Cognitive Systems, University of Tübingen
2020 - 2022
MSc in Computer Science, University of Tübingen
2016 - 2020
BSc in Bioinformatics, University of Tübingen
Research Interests
- Deep Learning
- Computer Vision
- Multispectral and Hyperspectral Imaging
Teaching
Lectures
- Introduction to Neural Networks (Summer 2023)
- Artificial Intelligence (Winter 2023/24)
- Introduction to Neural Networks (Summer 2024)
Supervised Theses
- "Implementing a Tool for Segmentation Mask Generation" (Bachelor's thesis, 2023)
- "A Student-Teacher Approach for Semi-supervised Hyperspectral Image Classification" (Bachelor's thesis, 2023)
- "Application of SAM for Segmentation of Multispectral Recordings of Construction Waste" (Bachelor's thesis, 2024)
- "Adapting Vision Transformer Models for Multi- or Hyperspectral Image Data Processing" (Bachelor's thesis, 2024)
- "Transfer Learning for Hyperspectral Image Classification" (Master's thesis, 2024)
Publications
[1] | Leon Amadeus Varga*, Hannah Frank*, and Andreas Zell (2023). Self-supervised Pretraining for Hyperspectral Classification of Fruit Ripeness. In OCM 2023 - Optical Characterization of Materials : Conference Proceedings (pp. 97-108). |