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

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

5 January 2024

Imran Razzak

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

7 / 7 papers shown

Title
Graph Classification via Discriminative Edge Feature Learning Yang Yi Xuequan Lu Shang Gao A. Robles-Kelly Yuejie Zhang GNN 31 7 0 05 Oct 2022
Masked Autoencoders in 3D Point Cloud Representation Learning Jincen Jiang Xuequan Lu Lizhi Zhao Richard Dazeley Meili Wang 3DPC ViT 54 28 0 04 Jul 2022
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding Yujin Chen Matthias Nießner Angela Dai 3DPC 105 58 0 06 Dec 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 141 622 0 21 Jul 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 150 737 0 02 Mar 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 117 193 0 18 Oct 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016