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3D Point Capsule Networks

https://doi.org/10.1109/cvpr.2019.00110

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.5281openalex-snapshot

Fast dynamic routing based on weighted kernel density estimation

inferredcites →https://doi.org/10.1007/978-3-030-00934-2_82openalex-snapshot

Fast CapsNet for Lung Cancer Screening

inferredcites →https://doi.org/10.1007/978-3-030-01228-1_37openalex-snapshot

PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors

inferredcites →https://doi.org/10.1007/978-3-030-01364-6_17openalex-snapshot

Capsule Networks Against Medical Imaging Data Challenges

inferredcites →https://doi.org/10.1007/978-3-030-04946-1_30openalex-snapshot

Fast Dynamic Routing Based on Weighted Kernel Density Estimation

inferredcites →https://doi.org/10.1007/978-3-030-11015-4_38openalex-snapshot

CapsuleGAN: Generative Adversarial Capsule Network

inferredcites →https://doi.org/10.1007/978-3-642-21735-7_6openalex-snapshot

Transforming Auto-Encoders

inferredcites →https://doi.org/10.1023/a:1026543900054openalex-snapshot

The Earth Mover's Distance as a Metric for Image Retrieval

inferredcites →https://doi.org/10.1109/3dv.2015.65openalex-snapshot

Point Pair Features Based Object Detection and Pose Estimation Revisited

inferredcites →https://doi.org/10.1109/access.2018.2886133openalex-snapshot

Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey

inferredcites →https://doi.org/10.1109/access.2019.2911622openalex-snapshot

On Learning and Learned Data Representation by Capsule Networks

inferredcites →https://doi.org/10.1109/cvpr.2015.7298801openalex-snapshot

3D ShapeNets: A deep representation for volumetric shapes

inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-snapshot

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.29openalex-snapshot

3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions

inferredcites →https://doi.org/10.1109/cvpr.2017.701openalex-snapshot

OctNet: Learning Deep 3D Representations at High Resolutions

inferredcites →https://doi.org/10.1109/cvpr.2018.00028openalex-snapshot

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching

inferredcites →https://doi.org/10.1109/cvpr.2018.00029openalex-snapshot

FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation

inferredcites →https://doi.org/10.1109/cvpr.2018.00295openalex-snapshot

PU-Net: Point Cloud Upsampling Network

inferredcites →https://doi.org/10.1109/cvpr.2018.00409openalex-snapshot

Tangent Convolutions for Dense Prediction in 3D

inferredcites →https://doi.org/10.1109/cvpr.2018.00472openalex-snapshot

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00979openalex-snapshot

SO-Net: Self-Organizing Network for Point Cloud Analysis

inferredcites →https://doi.org/10.1109/iccv.2017.26openalex-snapshot

Learning Compact Geometric Features

inferredcites →https://doi.org/10.1109/iros.2017.8206609openalex-snapshot

A point sampling algorithm for 3D matching of irregular geometries

inferredcites →https://doi.org/10.1109/wacv45572.2020.9093430openalex-snapshot

PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention

inferredcites →https://doi.org/10.1126/science.153.3731.34openalex-snapshot

Dynamic Programming

inferredcites →https://doi.org/10.1145/2980179.2980238openalex-snapshot

A scalable active framework for region annotation in 3D shape collections

inferredcites →https://doi.org/10.1145/3072959.3073608openalex-snapshot

O-CNN

inferredcites →https://doi.org/10.1145/3137609openalex-snapshot

Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks

inferredcites →https://doi.org/10.1145/3326362openalex-snapshot

Dynamic Graph CNN for Learning on Point Clouds

inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot

GAN（Generative Adversarial Nets）

inferredcites →https://doi.org/10.48550/arxiv.1610.07584openalex-snapshot

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

inferredcites →https://doi.org/10.48550/arxiv.1707.02392openalex-snapshot

Learning Representations and Generative Models for 3D Point Clouds

inferredcites →https://doi.org/10.48550/arxiv.1804.04241openalex-snapshot

Capsules for Object Segmentation

inferredcites →https://doi.org/10.48550/arxiv.1805.07621openalex-snapshot

CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces

inferredcites →https://doi.org/10.48550/arxiv.1805.07872openalex-snapshot

Spherical Convolutional Neural Network for 3D Point Clouds

inferredcites →https://doi.org/10.48550/arxiv.1805.09957openalex-snapshot

Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions

inferredcites →https://doi.org/10.48550/arxiv.1806.03796openalex-snapshot

Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks

inferredcites →https://doi.org/10.48550/arxiv.1806.03968openalex-snapshot

CapsGAN: Using Dynamic Routing for Generative Adversarial Networks

inferredcites →https://doi.org/10.48550/arxiv.1806.05086openalex-snapshot

Group Equivariant Capsule Networks

inferredcites →https://doi.org/10.48550/arxiv.1807.02547openalex-snapshot

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

inferredcites →https://doi.org/10.48550/arxiv.1808.08692openalex-snapshot

Generalized Capsule Networks with Trainable Routing Procedure

inferredcites →https://doi.org/10.5281/zenodo.10089705openalex-snapshot

ShapeNet: An Information-Rich 3D Model Repository

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4728672openalex-extracted

Gaussian Point Cloud Autoencoder for Partial Point Cloud Reconstruction

inferred← citeshttps://doi.org/10.1002/aisy.202400044openalex-snapshot

Deformable Capsules for Object Detection

inferred← citeshttps://doi.org/10.1002/cav.2140openalex-snapshot

Point cloud synthesis with stochastic differential equations

inferred← citeshttps://doi.org/10.1007/978-3-030-03243-2_423-1openalex-snapshot

Three-Dimensional Shape Descriptor

inferred← citeshttps://doi.org/10.1007/978-3-030-33676-9openalex-snapshot

Pattern Recognition

inferred← citeshttps://doi.org/10.1007/978-3-030-33676-9_33openalex-snapshot

A Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-learning

inferred← citeshttps://doi.org/10.1007/978-3-030-58452-8_1openalex-snapshot

Quaternion Equivariant Capsule Networks for 3D Point Clouds

inferred← citeshttps://doi.org/10.1007/978-3-030-58523-5_16openalex-snapshot

An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds

inferred← citeshttps://doi.org/10.1007/978-3-030-58526-6_37openalex-snapshot

Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning

inferred← citeshttps://doi.org/10.1007/978-3-030-58548-8_43openalex-snapshot

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization

inferred← citeshttps://doi.org/10.1007/978-3-030-58555-6_24openalex-snapshot

Progressive Point Cloud Deconvolution Generation Network

inferred← citeshttps://doi.org/10.1007/978-3-030-58580-8_34openalex-snapshot

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

inferred← citeshttps://doi.org/10.1007/978-3-030-58586-0_38openalex-snapshot

Deep FusionNet for Point Cloud Semantic Segmentation

inferred← citeshttps://doi.org/10.1007/978-3-030-58595-2_31openalex-snapshot

Detail Preserved Point Cloud Completion via Separated Feature Aggregation

inferred← citeshttps://doi.org/10.1007/978-3-030-58604-1_15openalex-snapshot

Attentive Prototype Few-Shot Learning with Capsule Network-Based Embedding

inferred← citeshttps://doi.org/10.1007/978-3-030-58607-2_27openalex-snapshot

Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes

inferred← citeshttps://doi.org/10.1007/978-3-030-58607-2_28openalex-snapshot

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions

inferred← citeshttps://doi.org/10.1007/978-3-030-58621-8_32openalex-snapshot

DPDist: Comparing Point Clouds Using Deep Point Cloud Distance

inferred← citeshttps://doi.org/10.1007/978-3-030-63416-2_423openalex-snapshot

Three-Dimensional Shape Descriptor

inferred← citeshttps://doi.org/10.1007/978-3-030-66415-2_48openalex-snapshot

Self-Supervision for 3D Real-World Challenges

inferred← citeshttps://doi.org/10.1007/978-3-030-86362-3_43openalex-snapshot

Capsule Networks with Routing Annealing

inferred← citeshttps://doi.org/10.1007/978-3-030-87156-7_12openalex-snapshot

Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts

inferred← citeshttps://doi.org/10.1007/978-3-030-88007-1_9openalex-snapshot

Slice Sequential Network: A Lightweight Unsupervised Point Cloud Completion Network

inferred← citeshttps://doi.org/10.1007/978-3-030-89180-0_4openalex-snapshot

Explainable Machine Learning Methods for Point Cloud Analysis

inferred← citeshttps://doi.org/10.1007/978-3-030-89370-5_30openalex-snapshot

MRAC-Net: Multi-resolution Anisotropic Convolutional Network for 3D Point Cloud Completion

inferred← citeshttps://doi.org/10.1007/978-3-031-06430-2_2openalex-snapshot

SVP-Classifier: Single-View Point Cloud Data Classifier with Multi-view Hallucination

inferred← citeshttps://doi.org/10.1007/978-3-031-12413-6_4openalex-snapshot

Exploring Self-supervised Capsule Networks for Improved Classification with Data Scarcity

inferred← citeshttps://doi.org/10.1007/978-3-031-15784-4_18openalex-snapshot

Point Clouds Object Classification Using Part-Based Capsule Network

inferred← citeshttps://doi.org/10.1007/978-3-031-19769-7_11openalex-snapshot

Learning to Train a Point Cloud Reconstruction Network Without Matching

inferred← citeshttps://doi.org/10.1007/978-3-031-19815-1_41openalex-snapshot

3D Compositional Zero-Shot Learning with DeCompositional Consensus

inferred← citeshttps://doi.org/10.1007/978-3-031-19818-2_11openalex-snapshot

Data Efficient 3D Learner via Knowledge Transferred from 2D Model

inferred← citeshttps://doi.org/10.1007/978-3-031-23028-8_17openalex-snapshot

A Capsule Network for Hierarchical Multi-label Image Classification

inferred← citeshttps://doi.org/10.1007/978-3-031-26348-4_23openalex-snapshot

A Simple Strategy to Provable Invariance via Orbit Mapping

inferred← citeshttps://doi.org/10.1007/978-3-031-27066-6_18openalex-snapshot

Object Centric Point Sets Feature Learning with Matrix Decomposition

inferred← citeshttps://doi.org/10.1007/978-3-031-37660-3_22openalex-snapshot

Joint Masked Autoencoding with Global Reconstruction for Point Cloud Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-73226-3_24openalex-snapshot

FreeZe: Training-Free Zero-Shot 6D Pose Estimation with Geometric and Vision Foundation Models

inferred← citeshttps://doi.org/10.1007/978-981-15-3341-9_33openalex-snapshot

Single View 3D Reconstruction with Category Information Learning

inferred← citeshttps://doi.org/10.1007/978-981-97-9124-8_3openalex-snapshot

Multi-scale Point Cloud Shape Completion Network Based on Deep Learning

inferred← citeshttps://doi.org/10.1007/978-981-99-8429-9_11openalex-snapshot

Image Priors Assisted Pre-training for Point Cloud Shape Analysis

inferred← citeshttps://doi.org/10.1007/978-981-99-8432-9_21openalex-snapshot

PCRT: Multi-branch Point Cloud Reconstruction from a Single Image with Transformers

inferred← citeshttps://doi.org/10.1007/s00138-024-01543-1openalex-snapshot

A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation

inferred← citeshttps://doi.org/10.1007/s00138-024-01556-wopenalex-snapshot

Trusted 3D self-supervised representation learning with cross-modal settings

inferred← citeshttps://doi.org/10.1007/s00371-021-02372-3openalex-snapshot

SORCNet: robust non-rigid shape correspondence with enhanced descriptors by Shared Optimized Res-CapsuleNet

inferred← citeshttps://doi.org/10.1007/s00371-022-02550-xopenalex-snapshot

PointALCR: adversarial latent GAN and contrastive regularization for point cloud completion

inferred← citeshttps://doi.org/10.1007/s00371-023-02921-yopenalex-snapshot

Unsupervised contrastive learning with simple transformation for 3D point cloud data

inferred← citeshttps://doi.org/10.1007/s00371-023-03248-4openalex-snapshot

A point cloud self-learning network based on contrastive learning for classification and segmentation

inferred← citeshttps://doi.org/10.1007/s00500-020-05067-4openalex-snapshot

Simultaneous localization and mapping of medical burn areas based on binocular vision and capsule networks

inferred← citeshttps://doi.org/10.1007/s00521-021-06231-zopenalex-snapshot

A novel 3D shape classification algorithm: point-to-vector capsule network

inferred← citeshttps://doi.org/10.1007/s00521-024-09624-yopenalex-snapshot

Fast point completion network

inferred← citeshttps://doi.org/10.1007/s00530-024-01335-7openalex-snapshot

PointCMC: cross-modal multi-scale correspondences learning for point cloud understanding

inferred← citeshttps://doi.org/10.1007/s00530-024-01395-9openalex-snapshot

PointDMIG: a dynamic motion-informed graph neural network for 3D action recognition

inferred← citeshttps://doi.org/10.1007/s10278-025-01702-4openalex-snapshot

EF-Gated 3D Capsule Networks with Spatially Decoupled Routing for Clinical Phenotyping of Heart Failure Subtypes in Cardiac MRI

inferred← citeshttps://doi.org/10.1007/s10846-021-01458-3openalex-snapshot

The State of Lifelong Learning in Service Robots:

inferred← citeshttps://doi.org/10.1007/s11042-021-10605-9openalex-snapshot

A review of three dimensional reconstruction techniques

inferred← citeshttps://doi.org/10.1007/s11263-021-01546-9openalex-snapshot

Learning 3D Semantic Scene Graphs with Instance Embeddings

inferred← citeshttps://doi.org/10.1007/s11263-022-01632-6openalex-snapshot

3DPointCaps++: Learning 3D Representations with Capsule Networks

inferred← citeshttps://doi.org/10.1007/s11263-023-01947-yopenalex-snapshot

PartCom: Part Composition Learning for 3D Open-Set Recognition

inferred← citeshttps://doi.org/10.1007/s11263-025-02533-0openalex-snapshot

Learning Latent Part-Whole Hierarchies for Point Clouds

inferred← citeshttps://doi.org/10.1007/s11280-021-00938-8openalex-snapshot

Multi-feature fusion point cloud completion network

inferred← citeshttps://doi.org/10.1007/s41095-022-0281-9openalex-snapshot

Semi-supervised 3D shape segmentation with multilevel consistency and part substitution

inferred← citeshttps://doi.org/10.1007/s41095-022-0305-5openalex-snapshot

Towards robustness and generalization of point cloud representation: A geometry coding method and a large-scale object-level dataset

inferred← citeshttps://doi.org/10.1007/s42979-021-00735-0openalex-snapshot

CNN Architectures for Geometric Transformation-Invariant Feature Representation in Computer Vision: A Review

inferred← citeshttps://doi.org/10.1016/j.aei.2022.101767openalex-snapshot

Capsule network-based semantic segmentation model for thermal anomaly identification on building envelopes

inferred← citeshttps://doi.org/10.1016/j.cagd.2019.101771openalex-snapshot

Deep learning-based 3D local feature descriptor from Mercator projections

inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108328openalex-snapshot

Intrusion detection for capsule networks based on dual routing mechanism

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2019.106481openalex-snapshot

A novel effective and efficient capsule network via bottleneck residual block and automated gradual pruning

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110426openalex-snapshot

A cross-modal Siamese representation learning network for point cloud understanding

inferred← citeshttps://doi.org/10.1016/j.displa.2021.102053openalex-snapshot

Review of multi-view 3D object recognition methods based on deep learning

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102854openalex-snapshot

Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122563openalex-snapshot

POS-BERT: Point cloud one-stage BERT pre-training

inferred← citeshttps://doi.org/10.1016/j.gmod.2024.101233openalex-snapshot

Deep-learning-based point cloud completion methods: A review

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102722openalex-snapshot

Deep learning based 3D segmentation in computer vision: A survey

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.06.010openalex-snapshot

Pyramid scene parsing network in 3D: Improving semantic segmentation of point clouds with multi-scale contextual information

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.04.011openalex-snapshot

GL-Net: Semantic segmentation for point clouds of shield tunnel via global feature learning and local feature discriminative aggregation

inferred← citeshttps://doi.org/10.1016/j.jag.2024.104074openalex-snapshot

Accelerated forest modeling from tree canopy point clouds via deep learning

inferred← citeshttps://doi.org/10.1016/j.jksuci.2019.09.014openalex-snapshot

Capsule Networks – A survey

inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.102790openalex-snapshot

Learning latent geometric consistency for 6D object pose estimation in heavily cluttered scenes

inferred← citeshttps://doi.org/10.1016/j.jvcir.2022.103612openalex-snapshot

PointCaps: Raw point cloud processing using capsule networks with Euclidean distance routing

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111217openalex-snapshot

Multi-Trusted Cross-Modal Information Bottleneck for 3D self-supervised representation learning

inferred← citeshttps://doi.org/10.1016/j.neunet.2021.07.032openalex-snapshot

Capsule networks with non-iterative cluster routing

inferred← citeshttps://doi.org/10.1016/j.neunet.2023.04.041openalex-snapshot

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion

inferred← citeshttps://doi.org/10.1038/s40494-025-01571-8openalex-snapshot

PointMoment: a mixed-moment self-supervised learning approach for 3D Terracotta Warriors

inferred← citeshttps://doi.org/10.1038/s40494-025-02057-3openalex-snapshot

Self-supervised learning via disentangled representation and self-distillation for 3D terracotta warriors

inferred← citeshttps://doi.org/10.1038/s41598-024-52343-6openalex-snapshot

A coarse-to-fine point completion network with details compensation and structure enhancement

inferred← citeshttps://doi.org/10.1038/s41598-024-70326-5openalex-snapshot

3DFFL: privacy-preserving Federated Few-Shot Learning for 3D point clouds in autonomous vehicles

inferred← citeshttps://doi.org/10.1051/e3sconf/202122901003openalex-snapshot

From Auto-encoders to Capsule Networks: A Survey

inferred← citeshttps://doi.org/10.1080/13658816.2022.2030479openalex-snapshot

SPSLiDAR: towards a multi-purpose repository for large scale LiDAR datasets

inferred← citeshttps://doi.org/10.1101/2022.06.17.496550openalex-snapshot

3D single-cell shape analysis using geometric deep learning

inferred← citeshttps://doi.org/10.1108/sr-12-2025-1009openalex-snapshot

PF-Net++: high-fidelity completion of roadway point cloud from LiDAR sensor via combined structure-aware point transformer and multiscale skip connections

inferred← citeshttps://doi.org/10.1109/3dv50981.2020.00034openalex-snapshot

Graphite: Graph-Induced Feature Extraction for Point Cloud Registration

inferred← citeshttps://doi.org/10.1109/3dv50981.2020.00112openalex-snapshot

Self-Supervised Learning of Point Clouds via Orientation Estimation

inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00112openalex-snapshot

Representing Shape Collections With Alignment-Aware Linear Models

inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00127openalex-snapshot

Geometric Adversarial Attacks and Defenses on 3D Point Clouds

inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00142openalex-snapshot

3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning

inferred← citeshttps://doi.org/10.1109/3dv57658.2022.00017openalex-snapshot

Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis

inferred← citeshttps://doi.org/10.1109/3dv62453.2024.00012openalex-snapshot

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning

inferred← citeshttps://doi.org/10.1109/3dv62453.2024.00138openalex-snapshot

Select-Sliced Wasserstein Distance for Point Cloud Learning

inferred← citeshttps://doi.org/10.1109/3dv62453.2024.00158openalex-snapshot

Unsupervised Representation Learning for Diverse Deformable Shape Collections

inferred← citeshttps://doi.org/10.1109/access.2020.3031812openalex-snapshot

DCG-Net: Dynamic Capsule Graph Convolutional Network for Point Clouds

inferred← citeshttps://doi.org/10.1109/access.2021.3062547openalex-snapshot

Annotation Tool and Urban Dataset for 3D Point Cloud Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/access.2022.3179109openalex-snapshot

Oriented and Directional Chamfer Distance Losses for 3D Object Reconstruction From a Single Image

inferred← citeshttps://doi.org/10.1109/access.2022.3205636openalex-snapshot

DF-Net: Dynamic and Folding Network for 3D Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/access.2022.3226211openalex-snapshot

Deep Learning Based Point Cloud Processing Techniques

inferred← citeshttps://doi.org/10.1109/access.2023.3238901openalex-snapshot

D3GATTEN: Dense 3D Geometric Features Extraction and Pose Estimation Using Self-Attention

inferred← citeshttps://doi.org/10.1109/access.2024.3376441openalex-snapshot

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

inferred← citeshttps://doi.org/10.1109/ccris65764.2025.11193128openalex-snapshot

Three-dimensional Reconstruction and Picking Point Localization Method of Cucumber Fruit Based on Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/crv60082.2023.00042openalex-snapshot

CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00273openalex-snapshot

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00402openalex-snapshot

Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions

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/cvpr42600.2020.00760openalex-snapshot

SampleNet: Differentiable Point Cloud Sampling

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00768openalex-snapshot

PF-Net: Point Fractal Network for 3D Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00914openalex-snapshot

Unsupervised Learning of Intrinsic Structural Representation Points

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01193openalex-snapshot

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00737openalex-snapshot

TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00836openalex-snapshot

Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01582openalex-snapshot

SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00400openalex-snapshot

HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00967openalex-snapshot

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01148openalex-snapshot

RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01795openalex-snapshot

Neural Fields as Learnable Kernels for 3D Reconstruction

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00425openalex-snapshot

Neural Kernel Surface Reconstruction

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00437openalex-snapshot

Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00520openalex-snapshot

Robust 3D Shape Classification via Non-local Graph Attention Network

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01175openalex-snapshot

Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02086openalex-snapshot

ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02168openalex-snapshot

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02633openalex-snapshot

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans

inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.02825openalex-snapshot

Activating Sparse Part Concepts for 3D Class Incremental Learning

inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00139openalex-snapshot

A Novel Local Geometry Capture in Pointnet++ for 3D Classification

inferred← citeshttps://doi.org/10.1109/cvprw53098.2021.00174openalex-snapshot

Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences

inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00440openalex-snapshot

GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/gecost52368.2021.9538629openalex-snapshot

Generative Skeletal Joint-Based Autoencoder for 3D Human Point Clouds Reconstruction

inferred← citeshttps://doi.org/10.1109/hpbdis53214.2021.9658349openalex-snapshot

A Survey on Capsule Networks: Evolution, Application, and Future Development

inferred← citeshttps://doi.org/10.1109/humanoids53995.2022.10000190openalex-snapshot

Affordance detection with Dynamic-Tree Capsule Networks

inferred← citeshttps://doi.org/10.1109/icat54566.2022.9811120openalex-snapshot

Computer Vision with 3D Point Cloud Data: Methods, Datasets and Challenges

inferred← citeshttps://doi.org/10.1109/iccicc50026.2020.9450255openalex-snapshot

SAPCGAN: Self-Attention based Generative Adversarial Network for Point Clouds

inferred← citeshttps://doi.org/10.1109/iccv.2019.00825openalex-snapshot

Unsupervised Multi-Task Feature Learning on Point Clouds

inferred← citeshttps://doi.org/10.1109/iccv.2019.00858openalex-snapshot

BAE-NET: Branched Autoencoder for Shape Co-Segmentation

inferred← citeshttps://doi.org/10.1109/iccv.2019.00905openalex-snapshot

Fully Convolutional Geometric Features

inferred← citeshttps://doi.org/10.1109/iccv.2019.01054openalex-snapshot

Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00635openalex-snapshot

Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00637openalex-snapshot

Bootstrap Your Own Correspondences

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00647openalex-snapshot

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00827openalex-snapshot

Shape Self-Correction for Unsupervised Point Cloud Understanding

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00964openalex-snapshot

Unsupervised Point Cloud Pre-training via Occlusion Completion

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01031openalex-snapshot

Point-set Distances for Learning Representations of 3D Point Clouds

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01178openalex-snapshot

PT-CapsNet: A Novel Prediction-Tuning Capsule Network Suitable for Deeper Architectures

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01651openalex-snapshot

Iterative Superquadric Recomposition of 3D Objects from Multiple Views

inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00105openalex-snapshot

Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds

inferred← citeshttps://doi.org/10.1109/iccvw60793.2023.00191openalex-snapshot

APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds

inferred← citeshttps://doi.org/10.1109/icip42928.2021.9506234openalex-snapshot

3D Grid Transformation Network For Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/icip42928.2021.9506426openalex-snapshot

Pointview-GCN: 3D Shape Classification With Multi-View Point Clouds

inferred← citeshttps://doi.org/10.1109/icip46576.2022.9897751openalex-snapshot

Towards Efficient Capsule Networks

inferred← citeshttps://doi.org/10.1109/icip55913.2025.11084492openalex-snapshot

Geometry Regularized Point Cloud Autoencoder

inferred← citeshttps://doi.org/10.1109/icme52920.2022.9860015openalex-snapshot

Self-Supervised Point Cloud Completion on Real Traffic Scenes Via Scene-Concerned Bottom-Up Mechanism

inferred← citeshttps://doi.org/10.1109/icmre56789.2023.10106583openalex-snapshot

Similarity Contrastive Capsule Transformation for Image-Text Matching

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9411978openalex-snapshot

Distinctive 3D local deep descriptors

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9411987openalex-snapshot

A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412013openalex-snapshot

Pose-robust Face Recognition by Deep Meta Capsule network-based Equivariant Embedding

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412483openalex-snapshot

Joint Supervised and Self-Supervised Learning for 3D Real World Challenges

inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956506openalex-snapshot

Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding

inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956643openalex-snapshot

3D point clouds simplification based on geometric primitives and graph-structured optimization

inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561327openalex-snapshot

Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610767openalex-snapshot

Fine-Tuning Point Cloud Transformers with Dynamic Aggregation

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191922openalex-snapshot

PST-Net: Point Cloud Completion Network Based on Local Geometric Feature Reuse and Neighboring Recovery with Taylor Approximation

inferred← citeshttps://doi.org/10.1109/ipas55744.2022.10052906openalex-snapshot

Improving 3D Point Cloud Reconstruction with Dynamic Tree-Structured Capsules

inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981390openalex-snapshot

Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement

inferred← citeshttps://doi.org/10.1109/iws58240.2023.10222077openalex-snapshot

Microwave Imaging of Human Body from Point Cloud with Capsule Network

inferred← citeshttps://doi.org/10.1109/jbhi.2022.3180326openalex-snapshot

3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-Branch Learning

inferred← citeshttps://doi.org/10.1109/jiot.2025.3576434openalex-snapshot

Point-KAN: Leveraging Trustworthy AI for Reliable 3-D Point Cloud Completion With Kolmogorov-Arnold Networks for 6G-IoT Applications

inferred← citeshttps://doi.org/10.1109/jsen.2023.3293515openalex-snapshot

3ONet: 3-D Detector for Occluded Object Under Obstructed Conditions

inferred← citeshttps://doi.org/10.1109/jsen.2024.3405079openalex-snapshot

DCPoint: Global-Local Dual Contrast for Self-Supervised Representation Learning of 3-D Point Clouds

inferred← citeshttps://doi.org/10.1109/lra.2023.3311361openalex-snapshot

Point Cloud Registration With Zero Overlap Rate and Negative Overlap Rate

inferred← citeshttps://doi.org/10.1109/lra.2024.3360858openalex-snapshot

Robust Partial-to-Partial Point Cloud Registration in a Full Range

inferred← citeshttps://doi.org/10.1109/mipr51284.2021.00031openalex-snapshot

Dynamic Local Geometry Capture in 3D Point Cloud Classification

inferred← citeshttps://doi.org/10.1109/mits.2023.3325854openalex-snapshot

3D Lidar Point Cloud Segmentation for Automated Driving

inferred← citeshttps://doi.org/10.1109/prai53619.2021.9551101openalex-snapshot

Unsupervised Representation Learning of Point Cloud via Local Discriminability Enhancing

inferred← citeshttps://doi.org/10.1109/qrs65678.2025.00033openalex-snapshot

Cross-Modal Contrast with Image Jigsaw for Self-Supervised Representation Learning of 3D Point Clouds

inferred← citeshttps://doi.org/10.1109/tase.2024.3438190openalex-snapshot

Spatial Attention-Based Capsule Networks With Guaranteed Group Equivariance

inferred← citeshttps://doi.org/10.1109/tcds.2024.3370219openalex-snapshot

DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification

inferred← citeshttps://doi.org/10.1109/tce.2022.3218107openalex-snapshot

Continuous Volumetric Convolution Network With Self-Learning Kernels for Point Clouds

inferred← citeshttps://doi.org/10.1109/tcsii.2020.3005191openalex-snapshot

A 1.15 TOPS/W Energy-Efficient Capsule Network Accelerator for Real-Time 3D Point Cloud Segmentation in Mobile Environment

inferred← citeshttps://doi.org/10.1109/tcss.2026.3666533openalex-snapshot

MambaCapsule: Toward Transparent Cardiac Disease Diagnosis With Electrocardiography Using Mamba Capsule Network

inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3104226openalex-snapshot

Capsule Boundary Network With 3D Convolutional Dynamic Routing for Temporal Action Detection

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3143151openalex-snapshot

VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3195944openalex-snapshot

Learning a Task-Specific Descriptor for Robust Matching of 3D Point Clouds

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3204771openalex-snapshot

Projected Generative Adversarial Network for Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3250970openalex-snapshot

Distinguishing and Matching-Aware Unsupervised Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3253210openalex-snapshot

Joint Global and Dynamic Pseudo Labeling for Semi-Supervised Point Cloud Sequence Segmentation

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3285803openalex-snapshot

Boosting Point-BERT by Multi-Choice Tokens

inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3694196openalex-snapshot

Part-Pose: Balancing Specificity With Consistency in Part-Level Feature for Accurate and Robust Category-Level Object Pose Estimation

inferred← citeshttps://doi.org/10.1109/tcyb.2023.3238640openalex-snapshot

QCNN-H: Single-Image Dehazing Using Quaternion Neural Networks

inferred← citeshttps://doi.org/10.1109/tetci.2024.3375614openalex-snapshot

Point Cloud Completion via Relative Point Position Encoding and Regional Attention

inferred← citeshttps://doi.org/10.1109/tgrs.2022.3198491openalex-snapshot

PS-Net: Point Shift Network for 3-D Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tgrs.2022.3208380openalex-snapshot

GLORN: Strong Generalization Fully Convolutional Network for Low-Overlap Point Cloud Registration

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3393443openalex-snapshot

Unsupervised Pose Decoder: Learn to Disentangle the Pose Attribute for Point Cloud Shape Analysis

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3409612openalex-snapshot

Sequence Generation Completion Method and Resolution Scaling Network for Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3461834openalex-snapshot

SCREAM: SCene REndering Adversarial Model for Low-and-Non-Overlap Point Cloud Registration

inferred← citeshttps://doi.org/10.1109/tim.2022.3227994openalex-snapshot

Multi-Dimensional Graph Interactional Network for Progressive Point Cloud Completion

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