conftrace_

rotation invariance

52 papers

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Also known as

RI

Co-occurring keywords

point cloud (1480) representation learning (6206) convolutional neural network (4226) 3d vision (1098) neural network (6616) feature representation (505) point cloud analysis (29) attention mechanism (4001) part segmentation (68) graph neural network (3962)

Papers

Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning AAAI 2026
Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms AAAI 2026
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning AAAI 2025
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology MIDL 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning CVPR 2025
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering AAAI 2025
Rotation Invariant Spatial Networks for Single-View Point Cloud Classification IJCAI 2025
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis CVPR 2024
Steerers: A Framework for Rotation Equivariant Keypoint Descriptors CVPR 2024
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis CVPR 2024
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding AAAI 2024
RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification WACV 2024
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations ICML 2023
Towards Multi-Layered 3D Garments Animation ICCV 2023
Rotation-Invariant Transformer for Point Cloud Matching CVPR 2023
Rethinking Rotation Invariance with Point Cloud Registration AAAI 2023
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration AAAI 2023
Learning Rotation-Equivariant Features for Visual Correspondence CVPR 2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame AAAI 2023
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs AAAI 2023
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023
The Devil Is in the Pose: Ambiguity-Free 3D Rotation-Invariant Learning via Pose-Aware Convolution CVPR 2022
Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net MIDL 2022
On the Strong Correlation Between Model Invariance and Generalization NIPS 2022
RRL: Regional Rotate Layer in Convolutional Neural Networks AAAI 2022