Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds

28 July 2019

Papers citing "Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds"

7 / 7 papers shown

Title
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks Siddharth Srivastava Gaurav Sharma 3DPC 27 15 0 28 Mar 2021
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring Zhihao Yuan Xu Yan Yinghong Liao Ruimao Zhang Sheng Wang Zhen Li Shuguang Cui 71 129 0 01 Mar 2021
Deep Learning for 3D Point Cloud Understanding: A Survey Haoming Lu Humphrey Shi 3DPC 13 32 0 18 Sep 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study Biao Gao Yancheng Pan Chengkun Li Sibo Geng Huijing Zhao 3DPC 19 25 0 08 Jun 2020
Dense-Resolution Network for Point Cloud Classification and Segmentation Shi Qiu Saeed Anwar Nick Barnes 3DPC 19 94 0 14 May 2020
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds Qingyong Hu Bo Yang Linhai Xie Stefano Rosa Yulan Guo Zhihua Wang A. Trigoni Andrew Markham 3DPC 24 1,469 0 25 Nov 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 0 30 Mar 2018