spherical convolution

Unified Spherical Frontend: Learning Rotation-Equivariant Representations of Spherical Images from Any Camera CVPR 2026 Equivariant spatio-hemispherical networks for diffusion MRI deconvolution NeurIPS 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions ICLR 2023 Scaling Spherical CNNs ICML 2023 Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces ICML 2022 DualPoseNet: Category-Level 6D Object Pose and Size Estimation Using Dual Pose Network With Refined Learning of Pose Consistency ICCV 2021 Efficient Generalized Spherical CNNs ICLR 2021 PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs AAAI 2021 Pose Invariant Topological Memory for Visual Navigation ICCV 2021 SurfGen: Adversarial 3D Shape Synthesis With Explicit Surface Discriminators ICCV 2021 A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video AAAI 2020 DeepSphere: a graph-based spherical CNN ICLR 2020 Learning to Orient Surfaces by Self-supervised Spherical CNNs NeurIPS 2020 Spin-Weighted Spherical CNNs NeurIPS 2020 Kernel Transformer Networks for Compact Spherical Convolution CVPR 2019 Learning an Effective Equivariant 3D Descriptor Without Supervision ICCV 2019 Octree Guided CNN With Spherical Kernels for 3D Point Clouds CVPR 2019 Spherical CNNs on Unstructured Grids ICLR 2019 Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition CVPR 2019 Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network NeurIPS 2018 Spherical CNNs ICLR 2018 Learning Spherical Convolution for Fast Features from 360° Imagery NeurIPS 2017 Spherical convolutions and their application in molecular modelling NeurIPS 2017