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20102026
most citedInterpolating between Optimal Transport and MMD using Sinkhorn Divergences

113 citations · 638 across the 37 of their papers we have counts for

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cs.CV2024★ 1 cited

CARL: A Framework for Equivariant Image Registration

Hastings Greer, Lin Tian, Francois-Xavier Vialard +3

Image registration estimates spatial correspondences between a pair of images. These estimates are typically obtained via numerical optimization or regression by a deep network. A…

cs.CV2024

uniGradICON: A Foundation Model for Medical Image Registration

Lin Tian, Hastings Greer, Roland Kwitt +5

Conventional medical image registration approaches directly optimize over the parameters of a transformation model. These approaches have been highly successful and are used generi…

cs.CV2023

Inverse Consistency by Construction for Multistep Deep Registration

Hastings Greer, Lin Tian, Francois-Xavier Vialard +5

Inverse consistency is a desirable property for image registration. We propose a simple technique to make a neural registration network inverse consistent by construction, as a con…

cs.CV2021

ICON: Learning Regular Maps Through Inverse Consistency

Hastings Greer, Roland Kwitt, Francois-Xavier Vialard +1

Learning maps between data samples is fundamental. Applications range from representation learning, image translation and generative modeling, to the estimation of spatial deformat…

cs.CV2019

Metric Learning for Image Registration

Marc Niethammer, Roland Kwitt, Francois-Xavier Vialard

Image registration is a key technique in medical image analysis to estimate deformations between image pairs. A good deformation model is important for high-quality estimates. Howe…