3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues

30 November 2017

Papers citing "3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues"

8 / 8 papers shown

Title
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 37 1 0 29 Apr 2024
IC classifier: a classifier for 3D industrial components based on geometric prior using GNN Zipeng Lin Zhenguo Nie 19 0 0 10 Mar 2023
Differentiable Convolution Search for Point Cloud Processing Xing Nie Yongcheng Liu Shaohong Chen Jianlong Chang Chunlei Huo Gaofeng Meng Qi Tian Weiming Hu Chunhong Pan 3DPC 37 6 0 29 Aug 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 22 115 0 02 Jan 2021
ODFNet: Using orientation distribution functions to characterize 3D point clouds Y. Sahin Alican Mertan Gözde B. Ünal 3DPC 16 7 0 08 Dec 2020
Inferring Point Clouds from Single Monocular Images by Depth Intermediation Wei Zeng Sezer Karaoglu Theo Gevers 3DPC 19 19 0 04 Dec 2018
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey Muzammal Naseer Salman H Khan Fatih Porikli 3DPC 3DV 11 100 0 09 Mar 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 113 875 0 03 Feb 2017