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A Closer Look at Local Aggregation Operators in Point Cloud Analysis

A Closer Look at Local Aggregation Operators in Point Cloud Analysis

2 July 2020
Ze Liu
Han Hu
Yue Cao
Zheng-Wei Zhang
Xin Tong
    3DPC
ArXivPDFHTML

Papers citing "A Closer Look at Local Aggregation Operators in Point Cloud Analysis"

39 / 39 papers shown
Title
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation
Yang Chen
Yueqi Duan
Runzhong Zhang
Yap-Peng Tan
3DPC
153
2
0
06 Feb 2025
Deep Learning on 3D Semantic Segmentation: A Detailed Review
Deep Learning on 3D Semantic Segmentation: A Detailed Review
Thodoris Betsas
Andreas Georgopoulos
Anastasios Doulamis
Pierre Grussenmeyer
3DV
3DPC
33
1
0
04 Nov 2024
Trainable Pointwise Decoder Module for Point Cloud Segmentation
Trainable Pointwise Decoder Module for Point Cloud Segmentation
Bike Chen
Woong Shin
Antti Tikänmaki
Hao Lu
3DPC
38
2
0
02 Aug 2024
Rethinking Attention Module Design for Point Cloud Analysis
Rethinking Attention Module Design for Point Cloud Analysis
Chengzhi Wu
Kaige Wang
Zeyun Zhong
Hao Fu
Junwei Zheng
Jiaming Zhang
Julius Pfrommer
Jürgen Beyerer
3DPC
51
1
0
27 Jul 2024
PointHR: Exploring High-Resolution Architectures for 3D Point Cloud
  Segmentation
PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation
Haibo Qiu
Baosheng Yu
Yixin Chen
Dacheng Tao
3DPC
29
1
0
11 Oct 2023
Decoupled Local Aggregation for Point Cloud Learning
Decoupled Local Aggregation for Point Cloud Learning
Binjie Chen
Yunzhou Xia
Yu Zang
Cheng-Yu Wang
Jonathan Li
3DPC
29
9
0
31 Aug 2023
All Points Matter: Entropy-Regularized Distribution Alignment for
  Weakly-supervised 3D Segmentation
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
28
12
0
25 May 2023
DANet: Density Adaptive Convolutional Network with Interactive Attention
  for 3D Point Clouds
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds
Yong-xing He
Hongshan Yu
Zhengeng Yang
Wei Sun
Mingtao Feng
Ajmal Saeed Mian
3DPC
27
7
0
08 Mar 2023
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Yong-xing He
Hongshan Yu
Zhengeng Yang
Xiaoguang Liu
Wei Sun
Ajmal Saeed Mian
ViT
3DPC
14
3
0
08 Mar 2023
Deep Learning on Implicit Neural Representations of Shapes
Deep Learning on Implicit Neural Representations of Shapes
Luca de Luigi
Adriano Cardace
Riccardo Spezialetti
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
29
46
0
10 Feb 2023
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT
3DPC
29
84
0
16 Dec 2022
Meta Architecture for Point Cloud Analysis
Meta Architecture for Point Cloud Analysis
Haojia Lin
Xiawu Zheng
Lijiang Li
Rongrong Ji
Sha Wang
Yan Wang
Yonghong Tian
Rongrong Ji
3DPC
27
45
0
26 Nov 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
20
0
0
20 Nov 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud
  Learning
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Yabin Zhang
Jiehong Lin
Ruihuang Li
Kui Jia
Lei Zhang
3DPC
22
6
0
13 Nov 2022
GeoSegNet: Point Cloud Semantic Segmentation via Geometric
  Encoder-Decoder Modeling
GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling
Chen Chen
Yisen Wang
Honghua Chen
Xu Yan
Da-Dui Ren
Ya Guo
H. Xie
F. Wang
Mingqiang Wei
3DPC
23
12
0
14 Jul 2022
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling
  Convolution
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution
H. Xiu
Xin Liu
Weimin Wang
Kyoung-Sook Kim
T. Shinohara
Qiong Chang
M. Matsuoka
3DPC
27
0
0
04 Jul 2022
Surface Representation for Point Clouds
Surface Representation for Point Clouds
Haoxi Ran
Jun Liu
Chengjie Wang
3DPC
28
155
0
11 May 2022
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient
  Point Cloud Classification
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
Tao Lu
Chunxu Liu
You-ren Chen
Gangshan Wu
Limin Wang
3DPC
36
6
0
02 May 2022
Contrastive Boundary Learning for Point Cloud Segmentation
Contrastive Boundary Learning for Point Cloud Segmentation
Liyao Tang
Yibing Zhan
Zhe Chen
Baosheng Yu
Dacheng Tao
3DPC
22
102
0
10 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
25
38
0
02 Mar 2022
Rethinking Network Design and Local Geometry in Point Cloud: A Simple
  Residual MLP Framework
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Xu Ma
Can Qin
Haoxuan You
Haoxi Ran
Y. Fu
3DPC
19
583
0
15 Feb 2022
Geometric Digital Twinning of Industrial Facilities: Retrieval of
  Industrial Shapes
Geometric Digital Twinning of Industrial Facilities: Retrieval of Industrial Shapes
E. Agapaki
I. Brilakis
3DV
3DPC
20
4
0
10 Feb 2022
diffConv: Analyzing Irregular Point Clouds with an Irregular View
diffConv: Analyzing Irregular Point Clouds with an Irregular View
Manxi Lin
Aasa Feragen
GNN
3DPC
31
11
0
29 Nov 2021
Swin Transformer V2: Scaling Up Capacity and Resolution
Swin Transformer V2: Scaling Up Capacity and Resolution
Ze Liu
Han Hu
Yutong Lin
Zhuliang Yao
Zhenda Xie
...
Yue Cao
Zheng-Wei Zhang
Li Dong
Furu Wei
B. Guo
ViT
55
1,747
0
18 Nov 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
25
72
0
20 Oct 2021
Differentiable Convolution Search for Point Cloud Processing
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
39
6
0
29 Aug 2021
Learning Inner-Group Relations on Point Clouds
Learning Inner-Group Relations on Point Clouds
Haoxi Ran
Wei Zhuo
Xiaozhong Liu
Li Lu
3DPC
40
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
28
1
0
20 Aug 2021
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object
  Detection
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection
Jiajun Deng
Wen-gang Zhou
Yanyong Zhang
Houqiang Li
3DPC
24
75
0
30 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
148
283
0
04 May 2021
Group-Free 3D Object Detection via Transformers
Group-Free 3D Object Detection via Transformers
Ze Liu
Zheng-Wei Zhang
Yue Cao
Han Hu
Xin Tong
ViT
3DPC
28
307
0
01 Apr 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
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
139
407
0
31 Jan 2021
On Learning the Right Attention Point for Feature Enhancement
On Learning the Right Attention Point for Feature Enhancement
Liqiang Lin
Pengdi Huang
FU Chi-Wing
XU Kai
Hao Zhang
Hui Huang
3DPC
36
7
0
11 Dec 2020
Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep
  Learning on 3D Point Clouds
Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds
Thomas Chaton
N. Chaulet
Sofiane Horache
Loic Landrieu
3DPC
21
42
0
09 Oct 2020
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Kirill Mazur
Victor Lempitsky
3DPC
51
39
0
22 Jul 2020
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Bernard Ghanem
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
168
0
15 Oct 2019
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
122
270
0
09 Sep 2019
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
115
876
0
03 Feb 2017
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