On the Effects of Spam Filtering and Incremental Learning for Web-Supervised Visual Concept Classification. - Matthias Springstein; Ralph Ewerth (ICMR, 2016)

"Are Machines Better Than Humans in Image Tagging?" - A User Study Adds to the Puzzle. - Ralph Ewerth; Matthias Springstein; Lo An Phan-Vogtmann; Juliane Schütze (ECIR, 2017)

"When Was This Picture Taken?" - Image Date Estimation in the Wild. - Eric Müller 002; Matthias Springstein; Ralph Ewerth (ECIR, 2017)

Estimating relative depth in single images via rankboost. - Ralph Ewerth; Matthias Springstein; Eric Müller 002; Alexander Balz; Jan Gehlhaar; Tolga Naziyok; Krzysztof Dembczynski; Eyke Hüllermeier (ICME, 2017)

Deep learning for content-based video retrieval in film and television production. - Markus Mühling; Nikolaus Korfhage; Eric Müller 002; Christian Otto; Matthias Springstein; Thomas Langelage; Uli Veith; Ralph Ewerth; Bernd Freisleben (Multim. Tools Appl., 2017)

TIB-arXiv: An Alternative Search Portal for the arXiv Pre-print Server. - Matthias Springstein; Huu Hung Nguyen; Anett Hoppe; Ralph Ewerth (TPDL, 2018)

Understanding, Categorizing and Predicting Semantic Image-Text Relations. - Christian Otto; Matthias Springstein; Avishek Anand; Ralph Ewerth (ICMR, 2019)

The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects. - Stefanie Schneider; Matthias Springstein; Javad Rahnama; Eyke Hüllermeier; Ralph Ewerth; Hubertus Kohle (GI-Jahrestagung, 2020)

Characterization and classification of semantic image-text relations. - Christian Otto; Matthias Springstein; Avishek Anand; Ralph Ewerth (Int. J. Multim. Inf. Retr., 2020)

Unsupervised Training Data Generation of Handwritten Formulas using Generative Adversarial Networks with Self-Attention. - Matthias Springstein; Eric Müller-Budack; Ralph Ewerth (MMPT@ICMR, 2021)

iART: A Search Engine for Art-Historical Images to Support Research in the Humanities. - Matthias Springstein; Stefanie Schneider; Javad Rahnama; Eyke Hüllermeier; Hubertus Kohle; Ralph Ewerth (ACM Multimedia, 2021)

QuTI! Quantifying Text-Image Consistency in Multimodal Documents. - Matthias Springstein; Eric Müller-Budack; Ralph Ewerth (SIGIR, 2021)

Ontology-driven Event Type Classification in Images. - Eric Müller-Budack; Matthias Springstein; Sherzod Hakimov; Kevin Mrutzek; Ralph Ewerth (WACV, 2021)

iART - Eine Suchmaschine zur Unterstützung von bildorientierten Forschungsprozessen. - Stefanie Schneider; Matthias Springstein; Javad Rahnama; Hubertus Kohle; Ralph Ewerth; Eyke Hüllermeier (DHd, 2022)

Semi-supervised Human Pose Estimation in Art-historical Images. - Matthias Springstein; Stefanie Schneider; Christian Althaus; Ralph Ewerth (ACM Multimedia, 2022)

Analyzing Results of Depth Estimation Models with Monocular Criteria. - Jonas Theiner; Nils Nommensen; Jim Rhotert; Matthias Springstein; Eric Müller-Budack; Ralph Ewerth (CVPR Workshops, 2023)

TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies. - Matthias Springstein; Markos Stamatakis; Margret Plank; Julian Sittel; Roman Mauer; Oksana Bulgakowa; Ralph Ewerth; Eric Müller-Budack (SIGIR, 2023)

Visual Narratives: Large-scale Hierarchical Classification of Art-historical Images. - Matthias Springstein; Stefanie Schneider; Javad Rahnama; Julian Stalter; Maximilian Kristen; Eric Müller-Budack; Ralph Ewerth (WACV, 2024)

Few-Shot Event Classification in Images using Knowledge Graphs for Prompting. - Golsa Tahmasebzadeh; Matthias Springstein; Ralph Ewerth; Eric Müller-Budack (WACV, 2024)

Tutorial on TIB AV-Analytics for AI-Assisted Video Analysis. - Eric Müller-Budack; Matthias Springstein; Elias Entrup; Ralph Ewerth (Creativity & Cognition, 2025)