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• Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Deep Learning
  2023 · 7 citations
• Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
  2024 · 6 citations
• DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
  2023 · 2 citations
• U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
  2023 · 2 citations
• Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
  2024 · 2 citations
• HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2
  2024 · 2 citations
• MooMIns -- Monocular 3D Reconstruction and Object Pose Estimation from Multiple Instances
  2026
• Uncertainty Quality of VGGT: An Analysis on the DTU Benchmark Dataset
  2026
• MVM-IOD: An Industrial Object-Centric Benchmark Dataset for the Evaluation of 3D Reconstruction Methods
  2026
• Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness
  2025
• FeatureGS: Eigenvalue-Feature Optimization in 3D Gaussian Splatting for Geometrically Accurate and Artifact-Reduced Reconstruction
  2025
• Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications
  2024
• A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
  2024