33 citations · 45 across the 7 of their papers we have counts for
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cs.CV2021★ 6 cited
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
Jason D. McEwen, Christopher G. R. Wallis, Augustine N. Mavor-Parker
Convolutional neural networks (CNNs) constructed natively on the sphere have been developed recently and shown to be highly effective for the analysis of spherical data. While an e…
cs.CV2020★ 1 cited
Efficient Generalized Spherical CNNs
Oliver J. Cobb, Christopher G. R. Wallis, Augustine N. Mavor-Parker +4
Many problems across computer vision and the natural sciences require the analysis of spherical data, for which representations may be learned efficiently by encoding equivariance…