Image de couverture de livre

DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Jincen, Zhao, Lizhi, Lu, Xuequan, Hu, Wei, Razzak, Imran, Wang, Meili
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding
par: Jiang, Jincen, et autres
Publié: (2024)

Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding
par: Jiang, Jincen, et autres
Publié: (2026)

PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
par: Jiang, Jincen, et autres
Publié: (2024)

RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
par: Su, Kunming, et autres
Publié: (2024)

Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks
par: Xu, Wenqiang, et autres
Publié: (2024)

StraightPCF: Straight Point Cloud Filtering
par: Edirimuni, Dasith de Silva, et autres
Publié: (2024)

Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks
par: Hattori, Shota, et autres
Publié: (2023)

A Survey of Deep Learning-based Point Cloud Denoising
par: Wang, Jinxi, et autres
Publié: (2025)

DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
par: Li, Yinghui, et autres
Publié: (2025)

Point2Vec for Self-Supervised Representation Learning on Point Clouds
par: Knaebel, Karim, et autres
Publié: (2023)

DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
par: Li, Yinghui, et autres
Publié: (2024)

Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations
par: Lu, Zhuheng, et autres
Publié: (2022)

No-Reference Point Cloud Quality Assessment via Graph Convolutional Network
par: Chen, Wu, et autres
Publié: (2024)

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning
par: Chen, Yiyang, et autres
Publié: (2025)

Self-Supervised Point Cloud Completion based on Multi-View Augmentations of Single Partial Point Cloud
par: Lu, Jingjing, et autres
Publié: (2025)

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification
par: Yang, Hao, et autres
Publié: (2025)

Deep Point Cloud Normal Estimation via Triplet Learning
par: Wang, Weijia, et autres
Publié: (2021)

A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization
par: Li, Zhuodong, et autres
Publié: (2025)

PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
par: Yang, Hao, et autres
Publié: (2024)

Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
par: Wang, Xingmei, et autres
Publié: (2025)

Hybrid Long and Short Range Flows for Point Cloud Filtering
par: Edirimuni, Dasith de Silva, et autres
Publié: (2025)

Towards Robust Visual Continual Learning with Multi-Prototype Supervision
par: Liu, Xiwei, et autres
Publié: (2025)

Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
par: Saito, Ayumu, et autres
Publié: (2024)

Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
par: Pan, Zhiyi, et autres
Publié: (2024)

Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis
par: Yuan, Shangbo, et autres
Publié: (2026)

MambaH-Fit: Rethinking Hyper-surface Fitting-based Point Cloud Normal Estimation via State Space Modelling
par: Wang, Weijia, et autres
Publié: (2025)

PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning
par: Yu, Xinxing, et autres
Publié: (2026)

Graph Matching Optimization Network for Point Cloud Registration
par: Wu, Qianliang, et autres
Publié: (2023)

Self-Supervised Implicit Attention Priors for Point Cloud Reconstruction
par: Fogarty, Kyle, et autres
Publié: (2025)

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution
par: Shao, Zhiwen, et autres
Publié: (2025)

Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
par: Xiao, Huaiyuan, et autres
Publié: (2025)

Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
par: Ren, Bin, et autres
Publié: (2024)

EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
par: Iqbal, Shahzaib, et autres
Publié: (2024)

PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
par: Nisar, Barza, et autres
Publié: (2025)

Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos
par: Zuo, Zhi, et autres
Publié: (2025)

Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
par: Cai, Mu, et autres
Publié: (2024)

PMT-MAE: Dual-Branch Self-Supervised Learning with Distillation for Efficient Point Cloud Classification
par: Zheng, Qiang, et autres
Publié: (2024)

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
par: Wu, Yanhao, et autres
Publié: (2024)

To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning
par: Hadgi, Souhail, et autres
Publié: (2024)

Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
par: Adams, Jadie, et autres
Publié: (2024)