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20182023
most citedParallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds

17 citations · 40 across the 8 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.CV2020

Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning

Stefan C Schonsheck

Leo Tolstoy opened his monumental novel Anna Karenina with the now famous words: Happy families are all alike; every unhappy family is unhappy in its own way A similar notion also…

cs.CV2020★ 2 cited

Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE

N. Joseph Tatro, Stefan C. Schonsheck, Rongjie Lai

Geometric disentanglement, the separation of latent codes for intrinsic (i.e. identity) and extrinsic(i.e. pose) geometry, is a prominent task for generative models of non-Euclidea…