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Point convolutional neural networks by extension operators
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11503415_33openalex-snapshot
Towards a Theoretical Foundation for Laplacian-Based Manifold Methods
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_14openalex-snapshot
Deep Learning 3D Shape Surfaces Using Geometry Images
inferredcites →https://doi.org/10.1017/cbo9780511617539openalex-snapshot
Scattered Data Approximation
inferredcites →https://doi.org/10.1109/cvpr.2016.609openalex-snapshot
Volumetric and Multi-view CNNs for Object Classification on 3D Data
inferredcites →https://doi.org/10.1109/iccv.2015.114openalex-snapshot
Multi-view Convolutional Neural Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/iccvw.2015.112openalex-snapshot
Geodesic Convolutional Neural Networks on Riemannian Manifolds
inferredcites →https://doi.org/10.1109/iros.2015.7353481openalex-snapshot
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
inferredcites →https://doi.org/10.1109/msp.2017.2693418openalex-snapshot
Geometric Deep Learning: Going beyond Euclidean data
inferredcites →https://doi.org/10.1111/cgf.12802openalex-snapshot
A Survey of Surface Reconstruction from Point Clouds
inferredcites →https://doi.org/10.1145/2980179.2980238openalex-snapshot
A scalable active framework for region annotation in 3D shape collections
inferredcites →https://doi.org/10.1145/3072959.3073616openalex-snapshot
Convolutional neural networks on surfaces via seamless toric covers
inferredcites →https://doi.org/10.1145/361002.361007openalex-snapshot
Multidimensional binary search trees used for associative searching
inferredcites →https://doi.org/10.1145/383259.383266openalex-snapshot
Reconstruction and representation of 3D objects with radial basis functions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Asfcnet: Adaptive Sampling and Feature Capture for Point Cloud Processing
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Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation Via Decoupling Optimization
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Mvp-Net: Multi-Scale Voxel and Point Fusion Network for Lidar Point Cloud Segmentation
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Efficient Multi-Scale Point Cloud Registration
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A Closer Look at Local Aggregation Operators in Point Cloud Analysis
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Orderly Disorder in Point Cloud Domain
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H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
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DbNet: Double-Ball Model for Processing Point Clouds
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HPGCNN: Hierarchical Parallel Group Convolutional Neural Networks for Point Clouds Processing
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FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
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Adaptive Channel Encoding Transformer for Point Cloud Analysis
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Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation
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Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World
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Variance-Aware Weight Initialization for Point Convolutional Neural Networks
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Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks
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Training-Free NAS for 3D Point Cloud Processing
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Context-Based Point Generation Network for Point Cloud Completion
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Auxiliary CNN for Graspability Modeling with 3D Point Clouds and Images for Robotic Grasping
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CFNet: Point Cloud Upsampling via Cascaded Feedback Network
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3D Object Recognition Based on Point Cloud Geometry Construction and Embeddable Attention
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Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models
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PointGADM: Geometry Acquainted Deep Model for 3D Point Cloud Analysis
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Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation
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Hierarchical and Holistic Open-Vocabulary Functional 3D Scene Graphs for Indoor Spaces
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PointMHA: Point Cloud Classification via Mamba and Hybrid Attention
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Overview of Data Fusion in Autonomous Driving Perception
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DetailPoint: detailed feature learning on point clouds with attention mechanism
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A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
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A novel partial point cloud registration method based on graph attention network
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PCTP: point cloud transformer pooling block for points set abstraction structure
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Unsupervised contrastive learning with simple transformation for 3D point cloud data
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Point-voxel dual stream transformer for 3d point cloud learning
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Learnable scene prior for point cloud semantic segmentation
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A neural network-augmented patch adaptive meshless method for 3D solid mechanics
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RS-TNet: point cloud transformer with relation-shape awareness for fine-grained 3D visual processing
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A novel 3D shape classification algorithm: point-to-vector capsule network
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Direction-induced convolution for point cloud analysis
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3D point cloud semantic segmentation based on visual guidance and feature enhancement
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3D point cloud descriptors: state-of-the-art
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Advances in text-guided 3D editing: a survey
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PointFusionNet: Point feature fusion network for 3D point clouds analysis
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Convolutional neural networks with hybrid weights for 3D point cloud classification
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Deep Learning-Based 3D Point Cloud Segmentation for Nondestructive Evaluation and Monitoring of Tunnel Construction
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Unsupervised non-rigid point cloud registration based on point-wise displacement learning
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Point cloud registration with rotation-invariant and dissimilarity-based salient descriptor
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AFpoint: adaptively fusing local and global features for point cloud
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Mdcsnet: multi-scale dynamic spatial information fusion with criticality sampling for point cloud classification
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Non parametric 3D point cloud understanding based on curvature guidance
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Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS
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RegGeoNet: Learning Regular Representations for Large-Scale 3D Point Clouds
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Hausdorff point convolution with geometric priors
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DC-GNN: drop channel graph neural network for object classification and part segmentation in the point cloud
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3D generative early-stage building design from 2D images: integration of multimodal data with GAN (3DMM-GAN)
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PCT: Point cloud transformer
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ARM3D: Attention-based relation module for indoor 3D object detection
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Towards robustness and generalization of point cloud representation: A geometry coding method and a large-scale object-level dataset
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Nearest Neighbor Sampling of Point Sets Using Rays
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SP$$\mathbb {A}$$N: Semantic Perception Aware Network Towards Affordance Detection in 3D Point Clouds
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Deep learning of spectral geometry
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DSACNN: Dynamically local self-attention CNN for 3D point cloud analysis
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Feature-preserved convolutional neural network for 3D mesh recognition
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SPS-LCNN: A Significant Point Sampling-based Lightweight Convolutional Neural Network for point cloud processing
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LGCPNet : Local-global combined point-based network for shape segmentation
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APM: Adaptive permutation module for point cloud classification
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Feature interpolation convolution for point cloud analysis
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ODFNet: Using orientation distribution functions to characterize 3D point clouds
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Multi-level feature fusion parallel branching networks for point cloud learning
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Advancements in deep learning for point cloud classification and segmentation: A comprehensive review
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Robust kernel-based feature representation for 3D point cloud analysis via circular convolutional network
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SCA-Net: Spatial and channel attention-based network for 3D point clouds
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Recent advances in 3D object detection based on RGB-D: A survey
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Deep learning-based 3D point cloud classification: A systematic survey and outlook
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PCTN: Point cloud data transformation network
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Self-supervised rotation-equivariant spherical vector network for learning canonical 3D point cloud orientation
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DRGCNN: Dynamic region graph convolutional neural network for point clouds
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Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds
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L 2 -GNN: Graph neural networks with fast spectral filters using twice linear parameterization
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Feature extraction and representation learning of 3D point cloud data
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Siamese KPConv: 3D multiple change detection from raw point clouds using deep learning
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Dynamic clustering transformer network for point cloud segmentation
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SAF-Nets: Shape-Adaptive Filter Networks for 3D point cloud processing
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IPC-Net: Incomplete point cloud classification network based on data augmentation and similarity measurement
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DRGNet: Dual-Relation Graph Network for point cloud analysis
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3D mixed CNNs with edge-point feature learning
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Decouple the object: Component-level semantic recognizer for point clouds classification
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PointVGG: Graph convolutional network with progressive aggregating features on point clouds
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Geometric attentional dynamic graph convolutional neural networks for point cloud analysis
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FFPointNet: Local and global fused feature for 3D point clouds analysis
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CTpoint: A novel local and global features extractor for point cloud
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3D mesh transformer: A hierarchical neural network with local shape tokens
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HQ-Net: A heatmap-based query backbone for point cloud understanding
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Geometric edge convolution for rigid transformation invariant features in 3D point clouds
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An integrated framework for surface reconstruction from incomplete point clouds based on constraint feedforward migration
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Geometrical deep learning for performance prediction of high-speed craft
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Dual fusion network for semantic segmentation of point clouds
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Point attention network for semantic segmentation of 3D point clouds
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Connectivity-based convolutional neural network for classifying point clouds
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Continuous conditional random field convolution for point cloud segmentation
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Improving deep learning on point cloud by maximizing mutual information across layers
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Progressive generation of 3D point clouds with hierarchical consistency
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Kernel-based feature aggregation framework in point cloud networks
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Composite convolution: A flexible operator for deep learning on 3D point clouds
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L2MLP: A novel MLP-based locality learning method for point cloud analysis
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3D HyFormer: A hybrid transformer with dense-sparse attention for point cloud semantic segmentation
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PSVMLP: Point and Shifted Voxel MLP for 3D deep learning
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Individual tree segmentation via contrastive learning and semantic priors in point clouds
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Deep learning based point cloud registration: an overview
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Point cloud upsampling generative adversarial network based on residual multi-scale off-set attention
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Multi-scale geometric variations semantic segmentation in Chinese architecture point clouds
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Frame points attention convolution for deep learning on point cloud
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Towards a topological–geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
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Point‐convolution‐based human skeletal pose estimation on millimetre wave frequency modulated continuous wave multiple‐input multiple‐output radar
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RJAN: Region‐based joint attention network for 3D shape recognition
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An Efficient and Lightweight Point Cloud Recognition Network Based on Neighborhood Learning
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M‐PointNet: A Multi‐Layer Embedded Deep Learning Model for 3D Intracranial Aneurysm Classification and Segmentation
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An attention-based bilateral feature fusion network for 3D point cloud
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DrivAer transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset
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Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive review
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GALA-Net: geometry-enhanced adaptive local feature aggregation network for point cloud semantic segmentation
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Multi-KPConv: deep learning-based LiDAR point cloud ground point extraction for complex terrains on the Loess Plateau
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Feature Relation based Graph Convolution for 3D Point Cloud Analysis
inferred← citeshttps://doi.org/10.1088/2632-2153/ad035eopenalex-snapshot
Artificial neural networks exploiting point cloud data for fragmented solid objects classification
inferred← citeshttps://doi.org/10.1109/3dv.2018.00058openalex-snapshot
Structured Low-Rank Matrix Factorization for Point-Cloud Denoising
inferred← citeshttps://doi.org/10.1109/3dv.2019.00015openalex-snapshot
Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels
inferred← citeshttps://doi.org/10.1109/3dv50981.2020.00081openalex-snapshot
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds
inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00108openalex-snapshot
Fine-Grained VR Sketching: Dataset and Insights
inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00109openalex-snapshot
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
inferred← citeshttps://doi.org/10.1109/3dv57658.2022.00062openalex-snapshot
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes
inferred← citeshttps://doi.org/10.1109/3dv66043.2025.00130openalex-snapshot
Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds
inferred← citeshttps://doi.org/10.1109/access.2021.3094624openalex-snapshot
PointMTL: Multi-Transform Learning for Effective 3D Point Cloud Representations
inferred← citeshttps://doi.org/10.1109/access.2021.3107285openalex-snapshot
A Lightweight Structure Based on Feature Fusion for Point Cloud Analysis
inferred← citeshttps://doi.org/10.1109/access.2022.3144449openalex-snapshot
Projection-Based Point Convolution for Efficient Point Cloud Segmentation
inferred← citeshttps://doi.org/10.1109/access.2022.3151350openalex-snapshot
Robust Object Classification Approach Using Spherical Harmonics
inferred← citeshttps://doi.org/10.1109/access.2022.3178519openalex-snapshot
Feature Based Sampling: A Fast and Robust Sampling Method for Tasks Using 3D Point Cloud
inferred← citeshttps://doi.org/10.1109/access.2022.3226211openalex-snapshot
Deep Learning Based Point Cloud Processing Techniques
inferred← citeshttps://doi.org/10.1109/access.2022.3228044openalex-snapshot
Separable Self-Attention Mechanism for Point Cloud Local and Global Feature Modeling
inferred← citeshttps://doi.org/10.1109/access.2023.3322433openalex-snapshot
Revisiting the Effectiveness of 3D Object Recognition Benchmarks
inferred← citeshttps://doi.org/10.1109/access.2024.3457805openalex-snapshot
Edge Convolution Graph Neural Network Assisted Power Allocation for Wireless IoT Networks
inferred← citeshttps://doi.org/10.1109/access.2024.3520138openalex-snapshot
Enhancing Point Cloud Classification and Segmentation With Attention-Enhanced SO-PointNet++
inferred← citeshttps://doi.org/10.1109/ainit61980.2024.10581530openalex-snapshot
Rotation-Equivariant Multi-Layer Perceptron for Point Cloud Classification and Segmentation
inferred← citeshttps://doi.org/10.1109/aipr47015.2019.9174587openalex-snapshot
GLSNet: Global and Local Streams Network for 3D Point Cloud Classification
inferred← citeshttps://doi.org/10.1109/cscwd54268.2022.9776080openalex-snapshot
An Effective Point Cloud Classification Method Based on Improved Non-local Neural Networks
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00391openalex-snapshot
Shape Unicode: A Unified Shape Representation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00457openalex-snapshot
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00611openalex-snapshot
Patch-Based Progressive 3D Point Set Upsampling
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00760openalex-snapshot
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00910openalex-snapshot
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00972openalex-snapshot
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00983openalex-snapshot
ABC: A Big CAD Model Dataset for Geometric Deep Learning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00169openalex-snapshot
SGAS: Sequential Greedy Architecture Search
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00187openalex-snapshot
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00435openalex-snapshot
FPConv: Learning Local Flattening for Point Convolution
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00444openalex-snapshot
Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00459openalex-snapshot
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00542openalex-snapshot
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00563openalex-snapshot
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00570openalex-snapshot
Grid-GCN for Fast and Scalable Point Cloud Learning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00719openalex-snapshot
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00862openalex-snapshot
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00864openalex-snapshot
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00952openalex-snapshot
Going Deeper With Lean Point Networks
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01046openalex-snapshot
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01146openalex-snapshot
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01359openalex-snapshot
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00319openalex-snapshot
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00459openalex-snapshot
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01297openalex-snapshot
A functional approach to rotation equivariant non-linearities for Tensor Field Networks
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01502openalex-snapshot
Fast end-to-end learning on protein surfaces
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00071openalex-snapshot
Frame Averaging for Equivariant Shape Space Learning
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00831openalex-snapshot
Stratified Transformer for 3D Point Cloud Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00835openalex-snapshot
A Unified Query-based Paradigm for Point Cloud Understanding
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01059openalex-snapshot
Automatic Relation-aware Graph Network Proliferation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00125openalex-snapshot
Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once
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