Annika Mütze - RankMe

18 papers A 3Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings. CoRR Gesina Schwalbe, Mert Keser, Moritz Bayerkuhnlein, Edgar Heinert, Annika Mütze, Marvin Keller, Sparsh Tiwari, Georgii Mikriukov, Diedrich Wolter, Jae Hee Lee, Matthias Rottmann
2026	J	`jnl`	Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning. CoRR Sadia Ilyas, Annika Mütze, Klaus Friedrichs, Thomas Kurbiel, Matthias Rottmann
2025	J	`jnl`	Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? CoRR Annika Mütze, Sadia Ilyas, Christian Dörpelkus, Matthias Rottmann
2025	J	`jnl`	Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving? CoRR Natalie Grabowsky, Annika Mütze, Joshua Wendland, Nils Jansen, Matthias Rottmann
2025	J	`jnl`	Learning Brenier Potentials with Convex Generative Adversarial Neural Networks. CoRR Claudia Drygala, Hanno Gottschalk, Thomas Kruse, Ségolène Martin, Annika Mütze
2025	—	`conf`	On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. xAI (4) Gesina Schwalbe, Georgii Mikriukov, Edgar Heinert, Stavros Gerolymatos, Mert Keser, Alois Knoll, Matthias Rottmann, Annika Mütze
2025	J	`jnl`	On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. CoRR Gesina Schwalbe, Georgii Mikriukov, Edgar Heinert, Stavros Gerolymatos, Mert Keser, Alois Knoll, Matthias Rottmann, Annika Mütze
2025	A	`conf`	On the Influence of Shape, Texture and Color for Learning Semantic Segmentation. ECAI Annika Mütze, Natalie Grabowsky, Edgar Heinert, Matthias Rottmann, Hanno Gottschalk
2025	J	`jnl`	Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation. CoRR Edgar Heinert, Thomas Gottwald, Annika Mütze, Matthias Rottmann
2025	A	`conf`	Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks. ECAI Ben Hamscher, Edgar Heinert, Annika Mütze, Kira Maag, Matthias Rottmann
2025	J	`jnl`	Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks. CoRR Ben Hamscher, Edgar Heinert, Annika Mütze, Kira Maag, Matthias Rottmann
2024	A	`conf`	AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. BMVC Krzysztof Baron-Lis, Matthias Rottmann, Annika Mütze, Sina Honari, Pascal Fua, Mathieu Salzmann
2024	J	`jnl`	On the Influence of Shape, Texture and Color for Learning Semantic Segmentation. CoRR Annika Mütze, Natalie Grabowsky, Edgar Heinert, Matthias Rottmann, Hanno Gottschalk
2024	—	`—`	Visual Recognition Using Deep Neural Networks on Abstract and Decomposed Data. Annika Mütze
2023	—	`conf`	Semi-Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness. VISIGRAPP (5: VISAPP) Annika Mütze, Matthias Rottmann, Hanno Gottschalk
2022	J	`jnl`	Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss. CoRR Annika Mütze, Matthias Rottmann, Hanno Gottschalk
2022	J	`jnl`	Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning. CoRR Julian Burghoff, Robin Chan, Hanno Gottschalk, Annika Mütze, Tobias Riedlinger, Matthias Rottmann, Marius Schubert
2013	—	`conf`	SPIN as a Linearizability Checker under Weak Memory Models. Haifa Verification Conference Oleg Travkin, Annika Mütze, Heike Wehrheim