1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2019
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr +3
We propose to view non-rigid surface registration as a probabilistic inference problem. Given a target surface, we estimate the posterior distribution of surface registrations. We…
cs.CV2019★ 1 cited
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding
Ilke Demir, Camilla Hahn, Kathryn Leonard +7
We present SkelNetOn 2019 Challenge and Deep Learning for Geometric Shape Understanding workshop to utilize existing and develop novel deep learning architectures for shape underst…