14 citations · 34 across the 8 of their papers we have counts for
4 papers · 1 filter
Cross-View Cross-Modal Unsupervised Domain Adaptation for Driver Monitoring System
Aditi Bhalla, Christian Hellert, Enkelejda Kasneci
Driver distraction remains a leading cause of road traffic accidents, contributing to thousands of fatalities annually across the globe. While deep learning-based driver activity r…
Locally Testing Model Detections for Semantic Global Concepts
Franz Motzkus, Georgii Mikriukov, Christian Hellert +1
Ensuring the quality of black-box Deep Neural Networks (DNNs) has become ever more significant, especially in safety-critical domains such as automated driving. While global concep…
Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces
Georgii Mikriukov, Gesina Schwalbe, Korinna Bade
Insights into the learned latent representations are imperative for verifying deep neural networks (DNNs) in critical computer vision (CV) tasks. Therefore, state-of-the-art superv…
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces
Georgii Mikriukov, Gesina Schwalbe, Christian Hellert +1
Safety-critical applications require transparency in artificial intelligence (AI) components, but widely used convolutional neural networks (CNNs) widely used for perception tasks…