Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving

26 June 2019

Papers citing "Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving"

8 / 8 papers shown

Title
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods Till Beemelmanns Yucheng Tao Bastian Lampe Lennart Reiher Raphael van Kempen Timo Woopen L. Eckstein 26 7 0 18 Feb 2024
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds Eric-Tuan Lê Minhyuk Sung Duygu Ceylan R. Měch T. Boubekeur Niloy J. Mitra 3DPC 23 33 0 31 Aug 2021
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation Maosheng Ye Shuangjie Xu Tongyi Cao Qifeng Chen 3DPC 94 37 0 09 Aug 2021
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling Qingyong Hu Bo Yang Linhai Xie Stefano Rosa Yulan Guo Zhihua Wang Niki Trigoni Andrew Markham 3DPC 20 178 0 06 Jul 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 208 841 0 20 Dec 2020
3D Point Cloud Processing and Learning for Autonomous Driving Siheng Chen Baoan Liu Chen Feng Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 58 164 0 01 Mar 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 1,473 0 25 Nov 2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering Siheng Chen Chaojing Duan Yaoqing Yang Duanshun Li Chen Feng Dong Tian 3DPC 34 71 0 11 May 2019