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. 1912.02984
  4. Cited By
Grid-GCN for Fast and Scalable Point Cloud Learning

Grid-GCN for Fast and Scalable Point Cloud Learning

6 December 2019
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
    3DPC
    GNN
ArXivPDFHTML

Papers citing "Grid-GCN for Fast and Scalable Point Cloud Learning"

50 / 56 papers shown
Title
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
Chengzhi Wu
Yuxin Wan
Hao Fu
Julius Pfrommer
Zeyun Zhong
Junwei Zheng
Jiaming Zhang
Jürgen Beyerer
3DPC
73
0
0
28 Apr 2025
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud
  Segmentation in the Geosciences
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
Ahmed J. Afifi
Samuel T. Thiele
Aldino Rizaldy
S. Lorenz
Pedram Ghamisi
R. Tolosana-Delgado
M. Kirsch
R. Gloaguen
M. Heizmann
3DPC
45
9
0
17 May 2023
Local region-learning modules for point cloud classification
Local region-learning modules for point cloud classification
Kaya Turgut
H. Dutagaci
3DPC
32
3
0
30 Mar 2023
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR
  Perception
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception
Zixiang Zhou
Dongqiangzi Ye
Weijia Chen
Yufei Xie
Yu Wang
Panqu Wang
H. Foroosh
40
10
0
21 Mar 2023
Attention-based Graph Convolution Fusing Latent Structures and Multiple
  Features for Graph Neural Networks
Attention-based Graph Convolution Fusing Latent Structures and Multiple Features for Graph Neural Networks
Yang Li
Yuichi Tanaka
3DPC
26
0
0
02 Mar 2023
FlatFormer: Flattened Window Attention for Efficient Point Cloud
  Transformer
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
Zhijian Liu
Xinyu Yang
Haotian Tang
Shang Yang
Song Han
45
66
0
20 Jan 2023
Hierarchical Point Attention for Indoor 3D Object Detection
Hierarchical Point Attention for Indoor 3D Object Detection
Manli Shu
Le Xue
Ning Yu
Roberto Martín-Martín
Caiming Xiong
Tom Goldstein
Juan Carlos Niebles
Ran Xu
3DPC
71
1
0
06 Jan 2023
PointVST: Self-Supervised Pre-training for 3D Point Clouds via
  View-Specific Point-to-Image Translation
PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation
Qijian Zhang
Junhui Hou
3DPC
35
10
0
29 Dec 2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud
  Analysis
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
Qijian Zhang
Junhui Hou
Y. Qian
Yiming Zeng
Juyong Zhang
Ying He
3DPC
55
25
0
17 Dec 2022
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis
Shanshan Zhao
Biwei Huang
Xi Li
Dacheng Tao
3DPC
43
0
0
20 Nov 2022
Point Cloud Recognition with Position-to-Structure Attention
  Transformers
Point Cloud Recognition with Position-to-Structure Attention Transformers
Zhenghu Ding
James Hou
Zhuowen Tu
ViT
3DPC
56
1
0
05 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViT
MedIm
AI4CE
34
74
0
27 Sep 2022
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds
Thang Vu
Kookhoi Kim
Tung M. Luu
Xuan Thanh Nguyen
Junyeong Kim
Chang D. Yoo
3DPC
38
23
0
17 Sep 2022
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis
Shen Zheng
Jinqian Pan
Chang-Tien Lu
Gaurav Gupta
3DPC
55
7
0
13 Jul 2022
HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud
  Processing
HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing
A. Thieshanthan
Amashi Niwarthana
Pamuditha Somarathne
Tharindu Wickremasinghe
Ranga Rodrigo
3DPC
47
1
0
05 Jun 2022
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point
  Cloud
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud
Luyang Li
Ligang He
Jinjin Gao
Xie Han
3DPC
34
20
0
30 May 2022
Surface Representation for Point Clouds
Surface Representation for Point Clouds
Haoxi Ran
Jun Liu
Chengjie Wang
3DPC
52
157
0
11 May 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
3DPC
50
8
0
21 Mar 2022
A Unified Query-based Paradigm for Point Cloud Understanding
A Unified Query-based Paradigm for Point Cloud Understanding
Zetong Yang
Li Jiang
Yanan Sun
Bernt Schiele
Jiaya Jia
3DPC
35
38
0
02 Mar 2022
Projection-based Point Convolution for Efficient Point Cloud
  Segmentation
Projection-based Point Convolution for Efficient Point Cloud Segmentation
Pyunghwan Ahn
Juyoung Yang
Eojindl Yi
Chanho Lee
Junmo Kim
3DPC
33
8
0
04 Feb 2022
Point-NeRF: Point-based Neural Radiance Fields
Point-NeRF: Point-based Neural Radiance Fields
Qiangeng Xu
Zexiang Xu
Julien Philip
Sai Bi
Zhixin Shu
Kalyan Sunkavalli
Ulrich Neumann
3DPC
54
568
0
21 Jan 2022
Neuroplastic graph attention networks for nuclei segmentation in
  histopathology images
Neuroplastic graph attention networks for nuclei segmentation in histopathology images
Yoav Alon
Huiyu Zhou
GNN
32
3
0
10 Jan 2022
PointCaps: Raw Point Cloud Processing using Capsule Networks with
  Euclidean Distance Routing
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing
Dishanika Denipitiyage
Vinoj Jayasundara
Ranga Rodrigo
Chamira U. S. Edussooriya
3DPC
40
6
0
21 Dec 2021
3D Medical Point Transformer: Introducing Convolution to Attention
  Networks for Medical Point Cloud Analysis
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis
Jianhui Yu
Chaoyi Zhang
Heng Wang
Dingxin Zhang
Yang Song
Tiange Xiang
Dongnan Liu
Weidong (Tom) Cai
ViT
MedIm
26
32
0
09 Dec 2021
Adaptive Channel Encoding for Point Cloud Analysis
Adaptive Channel Encoding for Point Cloud Analysis
Guoquan Xu
Hezhi Cao
Yifan Zhang
Jianwei Wan
Ke Xu
Yanxin Ma
3DPC
23
0
0
05 Dec 2021
SGM3D: Stereo Guided Monocular 3D Object Detection
SGM3D: Stereo Guided Monocular 3D Object Detection
Zheyuan Zhou
Liang Du
Xiaoqing Ye
Zhikang Zou
Xiao Tan
Li Zhang
Xiangyang Xue
Jianfeng Feng
MDE
37
33
0
03 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Yang Li
Yuichi Tanaka
21
3
0
03 Dec 2021
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D
  Object Detection
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
Deepti Hegde
Vishal M. Patel
3DPC
42
14
0
30 Nov 2021
PointMixer: MLP-Mixer for Point Cloud Understanding
PointMixer: MLP-Mixer for Point Cloud Understanding
Jaesung Choe
Chunghyun Park
François Rameau
Jaesik Park
In So Kweon
3DPC
45
98
0
22 Nov 2021
Efficient 3D Deep LiDAR Odometry
Efficient 3D Deep LiDAR Odometry
Guangming Wang
Xin Wu
Shuyang Jiang
Zhe Liu
Hesheng Wang
3DPC
46
46
0
03 Nov 2021
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit
  Representations
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
Simon Giebenhain
Bastian Goldlücke
3DPC
31
15
0
22 Oct 2021
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point
  Cloud Representation Learning
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian
Hasan Hammoud
Guohao Li
Ali K. Thabet
Guohao Li
3DPC
36
72
0
20 Oct 2021
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Cho-Ying Wu
Qiangeng Xu
Ulrich Neumann
3DH
33
59
0
19 Oct 2021
Border-SegGCN: Improving Semantic Segmentation by Refining the Border
  Outline using Graph Convolutional Network
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network
Naina Dhingra
G. Chogovadze
A. Kunz
44
6
0
11 Sep 2021
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point
  Clouds
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
28
33
0
31 Aug 2021
Learning Inner-Group Relations on Point Clouds
Learning Inner-Group Relations on Point Clouds
Haoxi Ran
Wei Zhuo
Jing Liu
Li Lu
3DPC
45
59
0
27 Aug 2021
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis
Guoquan Xu
Hezhi Cao
Yifan Zhang
Jianwei Wan
Ke Xu
Yanxin Ma
3DPC
34
1
0
20 Aug 2021
PVT: Point-Voxel Transformer for Point Cloud Learning
PVT: Point-Voxel Transformer for Point Cloud Learning
Cheng Zhang
Haocheng Wan
Xinyi Shen
Zizhao Wu
3DPC
ViT
39
82
0
13 Aug 2021
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud
  Segmentation
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
Maosheng Ye
Shuangjie Xu
Tongyi Cao
Qifeng Chen
3DPC
96
37
0
09 Aug 2021
Task-Aware Sampling Layer for Point-Wise Analysis
Task-Aware Sampling Layer for Point-Wise Analysis
Yiqun Lin
Lichang Chen
Haibin Huang
Chongyang Ma
Xiaoguang Han
Shuguang Cui
3DPC
34
9
0
09 Jul 2021
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point
  Clouds
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
Shuang Deng
Qiulei Dong
Bo Liu
Zhanyi Hu
3DPC
24
27
0
08 Jul 2021
Learning Semantic Segmentation of Large-Scale Point Clouds with Random
  Sampling
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
30
178
0
06 Jul 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
151
283
0
04 May 2021
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D
  Deep Learning
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
Wei Zhou
Xin Cao
Xiaodan Zhang
Xingxing Hao
Dekui Wang
Ying He
3DPC
35
1
0
30 Apr 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud
PointBA: Towards Backdoor Attacks in 3D Point Cloud
Xinke Li
Zhirui Chen
Yue Zhao
Zekun Tong
Yabang Zhao
A. Lim
Qiufeng Wang
3DPC
AAML
65
51
0
30 Mar 2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector
  Representation for 3D Object Detection
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi
Li Jiang
Jiajun Deng
Zhe Wang
Chaoxu Guo
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
150
409
0
31 Jan 2021
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point
  Clouds
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Jingyu Gong
Jiachen Xu
Xin Tan
Jie Zhou
Yanyun Qu
Yuan Xie
Lizhuang Ma
3DPC
59
46
0
07 Jan 2021
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
Takumi Kimura
Takashi Matsubara
K. Uehara
3DPC
36
8
0
04 Dec 2020
PointManifold: Using Manifold Learning for Point Cloud Classification
PointManifold: Using Manifold Learning for Point Cloud Classification
Dinghao Yang
Wei Gao
3DPC
34
4
0
14 Oct 2020
Learning Part Boundaries from 3D Point Clouds
Learning Part Boundaries from 3D Point Clouds
Marios Loizou
Melinos Averkiou
E. Kalogerakis
3DPC
29
33
0
15 Jul 2020
12
Next