ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.05593
  4. Cited By
Learning to Segment 3D Point Clouds in 2D Image Space

Learning to Segment 3D Point Clouds in 2D Image Space

12 March 2020
Yecheng Lyu
Xinming Huang
Ziming Zhang
    3DPC
ArXivPDFHTML

Papers citing "Learning to Segment 3D Point Clouds in 2D Image Space"

17 / 17 papers shown
Title
Automating Infrastructure Surveying: A Framework for Geometric Measurements and Compliance Assessment Using Point Cloud Data
Automating Infrastructure Surveying: A Framework for Geometric Measurements and Compliance Assessment Using Point Cloud Data
A. Ghafourian
Andrew Lee
Dechen Gao
Tyler Beer
Kin Yen
Iman Soltani
36
0
0
09 May 2025
Robust 3D Point Clouds Classification based on Declarative Defenders
Robust 3D Point Clouds Classification based on Declarative Defenders
Kaidong Li
Tianxiao Zhang
Cuncong Zhong
Zizhuo Zhang
G. Wang
3DPC
48
1
0
13 Oct 2024
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending
  Adversarial Attacks with Implicit Gradients
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
Kaidong Li
Ziming Zhang
Cuncong Zhong
Guanghui Wang
3DPC
34
25
0
29 Mar 2022
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point
  Cloud Dataset
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
Meida Chen
Qingyong Hu
Zifan Yu
Hugues Thomas
Andrew Feng
Yu Hou
Kyle McCullough
Fengbo Ren
L. Soibelman
SLR
AI4TS
16
63
0
17 Mar 2022
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point
  Clouds
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds
Qingyong Hu
Bo Yang
Sheikh Khalid
W. Xiao
Niki Trigoni
Andrew Markham
3DPC
26
85
0
12 Jan 2022
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
Abdullah Hamdi
Silvio Giancola
Guohao Li
3DPC
25
23
0
30 Nov 2021
From SLAM to Situational Awareness: Challenges and Survey
From SLAM to Situational Awareness: Challenges and Survey
Hriday Bavle
Jose Luis Sanchez-Lopez
Claudio Cimarelli
E. Schmidt
H. Voos
47
38
0
01 Oct 2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based
  Perception
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
22
95
0
12 Sep 2021
PnP-3D: A Plug-and-Play for 3D Point Clouds
PnP-3D: A Plug-and-Play for 3D Point Clouds
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
28
27
0
16 Aug 2021
Exploiting Local Geometry for Feature and Graph Construction for Better
  3D Point Cloud Processing with Graph Neural Networks
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
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification
  and Segmentation
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
Yecheng Lyu
Xinming Huang
Ziming Zhang
3DPC
27
9
0
03 Mar 2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR
  Segmentation
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
33
525
0
19 Nov 2020
Deep Learning for 3D Point Cloud Understanding: A Survey
Deep Learning for 3D Point Cloud Understanding: A Survey
Haoming Lu
Humphrey Shi
3DPC
13
32
0
18 Sep 2020
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic
  Segmentation
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
Hui Zhou
Xinge Zhu
Xiao-yang Song
Yuexin Ma
Zhe Wang
Hongsheng Li
Dahua Lin
3DPC
14
172
0
04 Aug 2020
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
128
270
0
09 Sep 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
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
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
448
15,652
0
02 Nov 2015
1