shape classification

DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis CVPR 2025 Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis AAAI 2025 Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation ICML 2025 AssemblyNet: A Point Cloud Dataset and Benchmark for Predicting Part Directions in an Exploded Layout WACV 2024 Differentiable Euler Characteristic Transforms for Shape Classification ICLR 2024 Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract) AAAI 2024 Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds AAAI 2024 MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders WACV 2024 Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis WACV 2023 Self-Positioning Point-Based Transformer for Point Cloud Understanding CVPR 2023 AttWalk: Attentive Cross-Walks for Deep Mesh Analysis WACV 2022 The Devil Is in the Pose: Ambiguity-Free 3D Rotation-Invariant Learning via Pose-Aware Convolution CVPR 2022 Field Convolutions for Surface CNNs ICCV 2021 Point Cloud Augmentation With Weighted Local Transformations ICCV 2021 Regularization Strategy for Point Cloud via Rigidly Mixed Sample CVPR 2021 Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline ICML 2021 SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix ICCV 2021 Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination AAAI 2021 PointAugment: An Auto-Augmentation Framework for Point Cloud Classification CVPR 2020 Primal-Dual Mesh Convolutional Neural Networks NeurIPS 2020 Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution ICLR 2019 Efficient Learning on Point Clouds With Basis Point Sets ICCV 2019 GeoNet: Deep Geodesic Networks for Point Cloud Analysis CVPR 2019 Interpolated Convolutional Networks for 3D Point Cloud Understanding ICCV 2019 MeshNet: Mesh Neural Network for 3D Shape Representation AAAI 2019