activity
20172026
most citedAutomatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images

564 citations · 1.1k across the 64 of their papers we have counts for

collaborators

76 papers

cs.CV2026

Evaluating Hierarchy-Aware Deep Learning for the Recognition of Tironian Notes

Yule Kang, Thomas Gorges, Janne van der Loop +4

Tironian notes are generally regarded as the first Latin shorthand system and are notable for their large, fine-grained symbol inventory. Their high visual similarity and large cla…

cs.CV2026

Automated Goldsmith's Mark Retrieval in Silverware

Atmik Tiwari, Vincent Christlein, Mark Fichtner +5

For art historians, goldsmith marks play a critical role in the identification and dating of artifacts. In practice, experts must manually compare a query mark against hundreds of…

cs.CV2026

Lot Machine: Multimodal Lot Extraction from Auction Catalogs

Mathias Zinnen, Alisha Mund, Sabine Lang +3

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 e…

cs.CV2026

FAU at ImageCLEF 2026 Task on Multimodal Reasoning Robust Candidate Scoring and Concise Multilingual Visual Answering

Mohamed Basem, Vincent Christlein

We present our ImageCLEF 2026 Multimodal Reasoning system for the Visual Multiple Choice Question Answering (Visual MCQ) and Visual Open Question Answering (Visual OpenQA) subtasks…

cs.CV2026

Handwriting Extraction and Analysis of Signature Lists in Swiss Popular Initiatives

Marco Peer, Thomas Gorges, Mathias Seuret +2

Popular initiatives and referendums are central to Swiss democracy, yet the validation of handwritten signature lists remains a labor-intensive manual process. This paper investiga…

cs.CV2026

ICDAR 2026 Competition on Writer Identification and Pen Classification from Hand-Drawn Circles

Thomas Gorges, Janne van der Loop, Lukas Hüttner +4

This paper presents CircleID, a large-scale ICDAR 2026 competition on writer identification and pen classification from scanned hand-drawn circles. The primary objective is to inve…