Author

Mathias Zinnen

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Preprint Aug 2026

Example-based Robust Abnormality Detection with Minimal Annotations using Exemplar Med-DETR

Reducing annotation requirements remains a key challenge in developing robust medical object detectors. To address this, Vision-Language (VL) object detection methods leverage grounding text information to enable powerful zero-shot and few-shot object detectors in the natural image domain [1, 2, 3, 4]. However, transfe...

Sheethal Bhat, Bogdan Georgescu, Awais Mansoor et al. · 0 citations

Preprint Aug 2026

Lot Machine: Multimodal Lot Extraction from Auction Catalogs

For provenance research and art market studies, auction catalogs are an essential resource to trace specific objects over time and space. While historical auction catalogs follow established domain conventions, their internal formatting remains highly variable, and their large-scale analysis is currently restricted by...

Mathias Zinnen, Alisha Mund, Sabine Lang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Lot Machine: Multimodal Lot Extraction from Auction Catalogs

This work demonstrates that a VLM-based pipeline can successfully unlock historical auction catalogs for large-scale automated analysis, and benchmark the methods across different deployment modes ranging from commercial providers to locally hosted, quantized models.

Mathias Zinnen, Alisha Mund, Sabine Lang et al. · 0 citations