Edgar Heinert

14 papers A 3Journal 9Unranked 2
YearRankTypeTitle / 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
Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis.
CoRR
Chamuditha Jayanga Galappaththige, Thomas Gottwald, Peter Stehr, Edgar Heinert, Niko Sünderhauf, Dimity Miller, Matthias Rottmann
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
2025 J jnl
Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Visibility.
CoRR
Thomas Gottwald, Edgar Heinert, Matthias Rottmann
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 A conf
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion.
ECAI
Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl
2024 J jnl
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion.
CoRR
Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl
2024 — conf
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Network.
BMVC Workshops
Edgar Heinert, Stephan Tilgner, Timo Palm, Matthias Rottmann
2024 J jnl
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks.
CoRR
Edgar Heinert, Stephan Tilgner, Timo Palm, Matthias Rottmann