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rotation equivariance

40 papers

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Co-occurring keywords · papers mentioning both

convolutional neural network (12) point cloud (7) neural network (5) self-supervised learning (5) spherical convolution (4) rotation equivariant (4) equivariant neural network (4) geometric deep learning (4) steerable filter (3) spherical image (3)

Papers

4D Local Modeling Toward Dynamic Global Perception for Ambiguity-free Rotation-Invariant Point Cloud Analysis CVPR 2026 SO(3)-Equivariant ViT-Adapter for Data-Efficient Zero-Shot Sim-to-Real Indoor Panoramic Depth Estimation CVPR 2026 Unified Spherical Frontend: Learning Rotation-Equivariant Representations of Spherical Images from Any Camera CVPR 2026 VENI: Variational Encoder for Natural Illumination CVPR 2026 A Regularization-Guided Equivariant Approach for Image Restoration CVPR 2025 Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing ICLR 2025 ESCAPE: Equivariant Shape Completion via Anchor Point Encoding CVPR 2025 Measuring the Impact of Rotation Equivariance on Aerial Object Detection ICCV 2025 R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection ICLR 2025 ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection CVPR 2025 Rotation-Equivariant Self-Supervised Method in Image Denoising CVPR 2025 A Characterization Theorem for Equivariant Networks with Point-wise Activations ICLR 2024 Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding AAAI 2024 Equivariant Diffusion for Crystal Structure Prediction ICML 2024 Rethinking Boundary Discontinuity Problem for Oriented Object Detection CVPR 2024 Steerers: A Framework for Rotation Equivariant Keypoint Descriptors CVPR 2024 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Rotation-Scale Equivariant Steerable Filters MIDL 2023 S-TREK: Sequential Translation and Rotation Equivariant Keypoints for Local Feature Extraction ICCV 2023 ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes CVPR 2022 RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry CVPR 2022 Rotationally Equivariant 3D Object Detection CVPR 2022 Self-Supervised Equivariant Learning for Oriented Keypoint Detection CVPR 2022 Steerable 3D Spherical Neurons ICML 2022