3 papers
cs.CV2026
Texture-Shape Bias Balancing for Robust Synthetic-to-Real Semantic Segmentation in Automotive NIR Imagery
Felix Stillger, Ben Hamscher, Lukas Hahn +3
Semantic segmentation is a fundamental component of visual perception in modern automotive systems, enabling pixel-level scene understanding. Near-Infrared imaging (NIR) offers sta…
cs.CV2026
InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset
Felix Stillger, Lukas Hahn, Frederik Hasecke +1
Camera extrinsic calibration is a fundamental task in computer vision. However, precise relative pose estimation in constrained, highly distorted environments, such as in-cabin aut…
cs.CV2024
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation
Felix Stillger, Frederik Hasecke, Tobias Meisen
This technical report outlines our method for generating a synthetic dataset for semantic segmentation using a latent diffusion model. Our approach eliminates the need for addition…