2 papers
cs.CV2025
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
Marc Hölle, Walter Kellermann, Vasileios Belagiannis
Semantic segmentation models trained on known object classes often fail in real-world autonomous driving scenarios by confidently misclassifying unknown objects. While pixel-wise o…
eess.AS2024
Spatially constrained vs. unconstrained filtering in neural spatiospectral filters for multichannel speech enhancement
Annika Briegleb, Walter Kellermann
When using artificial neural networks for multichannel speech enhancement, filtering is often achieved by estimating a complex-valued mask that is applied to all or one reference c…