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PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
v1v2 (latest)

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
4 September 2019
Xin Kong
Guangyao Zhai
Baoquan Zhong
Yong Liu
    3DPC
ArXiv (abs)PDFHTML

Papers citing "PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud"

3 / 3 papers shown
A Technical Survey and Evaluation of Traditional Point Cloud Clustering
  Methods for LiDAR Panoptic Segmentation
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation
Yiming Zhao
Xiao Zhang
Xinming Huang
3DPC
128
36
0
21 Aug 2021
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense
  Top-View Understanding
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
Kunyu Peng
Juncong Fei
Kailun Yang
Alina Roitberg
Kailai Li
Frank Bieder
Philipp Heidenreich
Christoph Stiller
Rainer Stiefelhagen
3DPC
214
56
0
01 Jul 2021
Semantic Graph Based Place Recognition for 3D Point Clouds
Semantic Graph Based Place Recognition for 3D Point CloudsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Xin Kong
Xuemeng Yang
Guangyao Zhai
Xiangrui Zhao
Xianfang Zeng
Mengmeng Wang
Yong Liu
Wanlong Li
Feng Wen
3DPC
175
141
0
26 Aug 2020
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