SPIN as a Linearizability Checker under Weak Memory Models. - Oleg Travkin; Annika Mütze; Heike Wehrheim (Haifa Verification Conference, 2013)

Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning. - Julian Burghoff; Robin Chan; Hanno Gottschalk; Annika Mütze; Tobias Riedlinger; Matthias Rottmann; Marius Schubert (CoRR, 2022)

Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss. - Annika Mütze; Matthias Rottmann; Hanno Gottschalk (CoRR, 2022)

Semi-Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness. - Annika Mütze; Matthias Rottmann; Hanno Gottschalk (VISIGRAPP (5: VISAPP), 2023)

AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. - Krzysztof Baron-Lis; Matthias Rottmann; Annika Mütze; Sina Honari; Pascal Fua; Mathieu Salzmann (BMVC, 2024)

On the Influence of Shape, Texture and Color for Learning Semantic Segmentation. - Annika Mütze; Natalie Grabowsky; Edgar Heinert; Matthias Rottmann; Hanno Gottschalk (CoRR, 2024)

Visual Recognition Using Deep Neural Networks on Abstract and Decomposed Data. - Annika Mütze (2024)

Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving? - Natalie Grabowsky; Annika Mütze; Joshua Wendland; Nils Jansen 001; Matthias Rottmann (CoRR, 2025)

Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation. - Edgar Heinert; Thomas Gottwald; Annika Mütze; Matthias Rottmann (CoRR, 2025)

On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. - Gesina Schwalbe; Georgii Mikriukov; Edgar Heinert; Stavros Gerolymatos; Mert Keser; Alois Knoll; Matthias Rottmann; Annika Mütze (CoRR, 2025)

Learning Brenier Potentials with Convex Generative Adversarial Neural Networks. - Claudia Drygala; Hanno Gottschalk; Thomas Kruse; Ségolène Martin; Annika Mütze (CoRR, 2025)

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? - Annika Mütze; Sadia Ilyas; Christian Dörpelkus; Matthias Rottmann (CoRR, 2025)

Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks. - Ben Hamscher; Edgar Heinert; Annika Mütze; Kira Maag; Matthias Rottmann (CoRR, 2025)