49 citations · 179 across the 33 of their papers we have counts for
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cs.CV2022
In Search of Projectively Equivariant Networks
Georg Bökman, Axel Flinth, Fredrik Kahl
Equivariance of linear neural network layers is well studied. In this work, we relax the equivariance condition to only be true in a projective sense. We propose a way to construct…
cs.CV2022
Rigidity Preserving Image Transformations and Equivariance in Perspective
Lucas Brynte, Georg Bökman, Axel Flinth +1
We characterize the class of image plane transformations which realize rigid camera motions and call these transformations `rigidity preserving'. In particular, 2D translations of…
cs.CV2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
Georg Bökman, Fredrik Kahl, Axel Flinth
In this paper, we are concerned with rotation equivariance on 2D point cloud data. We describe a particular set of functions able to approximate any continuous rotation equivariant…