SIG Seminar: “Uncertainty-Driven Geometry Reconstruction and Understanding”
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Zoom - Email CIS for link
cherylh@cis.upenn.edu
Choosing suitable data representations is one of the most critical topics when installing machine learning on 3D data. This talk discusses several recent works on utilizing uncertainty as a lens to develop suitable data representations and formulations for geometry reconstruction and understanding. We will discuss both theoretical results and applications in multi-scan registration, pose estimation, […]

