3 papers
cs.CV2026
Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs
Pius Horn, Janis Keuper
Correctly parsing mathematical formulas from PDFs is critical for training large language models and building scientific knowledge bases from academic literature, yet existing benc…
cs.CV2025
Assessing Foundation Models for Mold Colony Detection with Limited Training Data
Henrik Pichler, Janis Keuper, Matthew Copping
The process of quantifying mold colonies on Petri dish samples is of critical importance for the assessment of indoor air quality, as high colony counts can indicate potential heal…
cs.CV2025
A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification
Bianca Lamm, Janis Keuper
Despite the rapid evolution of learning and computer vision algorithms, Fine-Grained Classification (FGC) still poses an open problem in many practically relevant applications. In…