DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model

10 December 2017

Papers citing "DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model"

4 / 4 papers shown

Title
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding Le Xue Ning Yu Shu Zhen Zhang Artemis Panagopoulou Junnan Li ... Jiajun Wu Caiming Xiong Ran Xu Juan Carlos Niebles Silvio Savarese 24 115 0 14 May 2023
End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences Zhijian Qiao Huanshu Wei Zhe Liu Chuanzhe Suo Hesheng Wang 3DPC 25 24 0 30 Nov 2020
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints Weikun Wu Yan Zhang David Wang Yunqi Lei 3DPC 21 50 0 31 Mar 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019