Saliency-driven image coding improves overall perceived JPEG quality. - Vlad Hosu; Franz Hahn; Oliver Wiedemann; Sung-Hwan Jung; Dietmar Saupe (PCS, 2016)

Quantifying visual abstraction quality for stipple drawings. - Marc Spicker; Franz Hahn; Thomas Lindemeier; Dietmar Saupe; Oliver Deussen (NPAR@Expressive, 2017)

The Konstanz natural video database (KoNViD-1k). - Vlad Hosu; Franz Hahn; Mohsen Jenadeleh; Hanhe Lin; Hui Men; Tamás Szirányi; Shujun Li; Dietmar Saupe (QoMEX, 2017)

No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. - Franz Götz-Hahn; Vlad Hosu; Hanhe Lin; Dietmar Saupe (CoRR, 2019)

Quantifying Visual Abstraction Quality for Computer-Generated Illustrations. - Marc Spicker; Franz Götz-Hahn; Thomas Lindemeier; Dietmar Saupe; Oliver Deussen (ACM Trans. Appl. Percept., 2019)

Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features". - Franz Götz-Hahn; Vlad Hosu; Dietmar Saupe (CoRR, 2020)

Critical analysis on the reproducibility of visual quality assessment using deep features. - Franz Götz-Hahn; Vlad Hosu; Dietmar Saupe (CoRR, 2020)

KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. - Franz Götz-Hahn; Vlad Hosu; Hanhe Lin; Dietmar Saupe (IEEE Access, 2021)

Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles. - Timo Spinde; Jan-David Krieger; Terry Ruas; Jelena Mitrovic; Franz Götz-Hahn; Akiko Aizawa; Bela Gipp (iConference (1), 2022)

Video Quality Assessment in-the-wild. - Franz Götz-Hahn (2022)

Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. - Diego Botache; Jens Decke; Winfried Ripken; Abhinay Dornipati; Franz Götz-Hahn; Mohamed Ayeb; Bernhard Sick (CoRR, 2023)

Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation. - Diego Botache; Jens Decke; Winfried Ripken; Abhinay Dornipati; Franz Götz-Hahn; Mohamed Ayeb; Bernhard Sick (ECML/PKDD (10), 2024)