activity
20212026
most citediART: A Search Engine for Art-Historical Images to Support Research in the Humanities

24 citations · 25 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Uncertainty-Aware Art-Historical Dating with Vision-Language Models

Stefanie Schneider, Peter Bell

Museum and archival datasets do not mirror historical artistic production, but materialize the contingent histories of collecting, preservation, cataloging, and digitization. This…

cs.CV2026

On the Explainability of Vision-Language Models in Art History

Stefanie Schneider

Vision-Language Models (VLMs) transfer visual and textual data into a shared embedding space. In so doing, they enable a wide range of multimodal tasks, while also raising critical…

cs.CL2026

A Dataset for Named Entity Recognition and Relation Extraction from Art-historical Image Descriptions

Stefanie Schneider, Miriam Göldl, Julian Stalter +1

This paper introduces FRAME (Fine-grained Recognition of Art-historical Metadata and Entities), a manually annotated dataset of art-historical image descriptions for Named Entity R…

cs.CV2023★ 1 cited

Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History

Stefanie Schneider, Ricarda Vollmer

Throughout the history of art, the pose, as the holistic abstraction of the human body's expression, has proven to be a constant in numerous studies. However, due to the enormous a…

cs.CV2022

Semi-supervised Human Pose Estimation in Art-historical Images

Matthias Springstein, Stefanie Schneider, Christian Althaus +1

Gesture as language of non-verbal communication has been theoretically established since the 17th century. However, its relevance for the visual arts has been expressed only sporad…

cs.IR2021★ 24 cited

iART: A Search Engine for Art-Historical Images to Support Research in the Humanities

Matthias Springstein, Stefanie Schneider, Javad Rahnama +3

In this paper, we introduce iART: an open Web platform for art-historical research that facilitates the process of comparative vision. The system integrates various machine learnin…