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ORCIDFranz Götz-Hahn
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2020 – today
- 2024
[c5]Diego Botache
, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick:
Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation. ECML/PKDD (10) 2024: 297-312- 2023
- [i5]Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick:
Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. CoRR abs/2309.13179 (2023) - 2022
- [b1]Franz Götz-Hahn:
Video Quality Assessment in-the-wild. University of Konstanz, Germany, 2022 - [c4]Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrovic, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp:
Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles. iConference (1) 2022: 225-235 - [i4]Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrovic, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp:
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles. CoRR abs/2211.03491 (2022) - 2021
- [j2]Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe:
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. IEEE Access 9: 72139-72160 (2021) - 2020
- [i3]Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe:
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features". CoRR abs/2005.04400 (2020) - [i2]Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe:
Critical analysis on the reproducibility of visual quality assessment using deep features. CoRR abs/2009.05369 (2020)
2010 – 2019
- 2019
- [j1]Marc Spicker, Franz Götz-Hahn, Thomas Lindemeier, Dietmar Saupe, Oliver Deussen:
Quantifying Visual Abstraction Quality for Computer-Generated Illustrations. ACM Trans. Appl. Percept. 16(1): 5:1-5:20 (2019) - [i1]Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe:
No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. CoRR abs/1912.07966 (2019) - 2017
- [c3]Marc Spicker, Franz Hahn, Thomas Lindemeier, Dietmar Saupe, Oliver Deussen:
Quantifying visual abstraction quality for stipple drawings. NPAR@Expressive 2017: 8:1-8:10 - [c2]Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tamás Szirányi, Shujun Li, Dietmar Saupe:
The Konstanz natural video database (KoNViD-1k). QoMEX 2017: 1-6 - 2016
- [c1]Vlad Hosu, Franz Hahn, Oliver Wiedemann, Sung-Hwan Jung, Dietmar Saupe:
Saliency-driven image coding improves overall perceived JPEG quality. PCS 2016: 1-5
Coauthor Index
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