30 citations · 52 across the 22 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.CV2017★ 3 cited
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia +1
We address the problem of 3D rotation equivariance in convolutional neural networks. 3D rotations have been a challenging nuisance in 3D classification tasks requiring higher capac…
cs.CV2017★ 30 cited
Polar Transformer Networks
Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou +1
Convolutional neural networks (CNNs) are inherently equivariant to translation. Efforts to embed other forms of equivariance have concentrated solely on rotation. We expand the not…