Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds

Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds

6 April 2020

Xinge Zhu

Papers citing "Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds"

7 / 7 papers shown

Title
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds Junbo Yin Jianbing Shen Xin Gao David J. Crandall Ruigang Yang 3DPC ViT 38 59 0 26 Jul 2022
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion Tong Wu Liang Pan Junzhe Zhang Tai Wang Ziwei Liu Dahua Lin 27 123 0 24 Nov 2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception Xinge Zhu Hui Zhou Tai Wang Fangzhou Hong Wei Li Yuexin Ma Hongsheng Li Ruigang Yang Da Lin 3DPC 14 95 0 12 Sep 2021
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection Tai Wang Xinge Zhu Jiangmiao Pang Dahua Lin 3DPC 24 588 0 22 Apr 2021
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation Peishan Cong Xinge Zhu Yuexin Ma 13 9 0 26 Mar 2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation Xinge Zhu Hui Zhou Tai Wang Fangzhou Hong Yuexin Ma Wei Li Hongsheng Li Dahua Lin 3DPC 24 522 0 19 Nov 2020
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection Benjin Zhu Zhengkai Jiang Xiangxin Zhou Zeming Li Gang Yu 3DPC 160 484 0 26 Aug 2019