Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Network. - Edgar Heinert; Stephan Tilgner; Timo Palm; Matthias Rottmann (BMVC Workshops, 2024)

Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. - Edgar Heinert; Matthias Rottmann; Kira Maag; Karsten Kahl (ECAI, 2024)

Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks. - Edgar Heinert; Stephan Tilgner; Timo Palm; Matthias Rottmann (CoRR, 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)

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)

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)

Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Visibility. - Thomas Gottwald; Edgar Heinert; Matthias Rottmann (CoRR, 2025)