3 papers
cs.RO2026
Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
Christian Reichenbächer, Philipp Rank, Jochen Hipp +1
This paper presents the first application of Gaussian Mixture Copula Models to the statistical modeling of driving scenarios for the safety validation of automated driving systems.…
cs.PF2025
FlexiSAGA: A Flexible Systolic Array GEMM Accelerator for Sparse and Dense Processing
Mika Markus Müller, Konstantin Lübeck, Alexander Louis-Ferdinand Jung +2
Artificial Intelligence (AI) algorithms, such as Deep Neural Networks (DNNs), have become an important tool for a wide range of applications, from computer vision to natural langua…
cs.CV2024
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models
Pascal Zwick, Kevin Roesch, Marvin Klemp +1
Anonymization plays a key role in protecting sensible information of individuals in real world datasets. Self-driving cars for example need high resolution facial features to track…