14 citations · 34 across the 8 of their papers we have counts for
9 papers
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…
TRUCE-AV: A Multimodal dataset for Trust and Comfort Estimation in Autonomous Vehicles
Aditi Bhalla, Christian Hellert, Enkelejda Kasneci +1
Understanding and estimating driver trust and comfort are essential for the safety and widespread acceptance of autonomous vehicles. Existing works analyze user trust and comfort s…
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
Franz Motzkus, Christian Hellert, Ute Schmid
Recent advancements in generative AI have introduced novel prospects and practical implementations. Especially diffusion models show their strength in generating diverse and, at th…
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…
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
Georgii Mikriukov, Gesina Schwalbe, Christian Hellert +1
Analysis of how semantic concepts are represented within Convolutional Neural Networks (CNNs) is a widely used approach in Explainable Artificial Intelligence (XAI) for interpretin…
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Julian Wörmann, Daniel Bogdoll, Christian Brunner +49
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in real life applications…
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
Yao Rong, Chao Han, Christian Hellert +2
As interest in autonomous driving increases, efforts are being made to meet requirements for the high-level automation of vehicles. In this context, the functionality inside the ve…