Learning Virtual Borders through Semantic Scene Understanding and Augmented Reality. - Dennis Sprute; Philipp Viertel; Klaus Tönnies; Matthias König 001 (IROS, 2019)

Deep Learning in palynology. - Philipp Viertel; Matthias König 001 (GIL Jahrestagung, 2021)

PollenGAN: Synthetic Pollen Grain Image Generation for Data Augmentation. - Philipp Viertel; Matthias König 001; Jan Rexilius (ICMLA, 2021)

Pollen detection from honey sediments via Region-Based Convolutional Neural Networks. - Philipp Viertel; Matthias König 001; Jan Rexilius (GIL Jahrestagung, 2022)

Pattern recognition methodologies for pollen grain image classification: a survey. - Philipp Viertel; Matthias König 001 (Mach. Vis. Appl., 2022)

Metric-Based Few-Shot Learning for Pollen Grain Image Classification. - Philipp Viertel; Matthias König 001; Jan Rexilius (ICPRAM, 2023)