2 papers
stat.ML2026
Comprehensive Description of Uncertainty in Measurement for Representation and Propagation with Scalable Precision
Ali Darijani, Jürgen Beyerer, Zahra Sadat Hajseyed Nasrollah +2
Probability theory has become the predominant framework for quantifying uncertainty across scientific and engineering disciplines, with a particular focus on measurement and contro…
cs.CV2025
6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly
Chengzhi Wu, Hao Fu, Jan-Philipp Kaiser +5
The accurate estimation of 6D pose remains a challenging task within the computer vision domain, even when utilizing 3D point cloud data. Conversely, in the manufacturing domain, i…