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PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis

PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis

9 December 2021
Shuyang Cheng
Xiwu Chen
Xinwei He
Zhe Liu
X. Bai
    3DPC
ArXivPDFHTML

Papers citing "PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis"

24 / 24 papers shown
Title
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
Zehao Wang
Yang Zhou
Jinhai Xiang
Yin Wang
Xinwei He
VLM
47
0
0
05 May 2025
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
54
0
0
28 Apr 2025
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
Yunze Liu
Li Yi
Mamba
45
2
0
01 Oct 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point
  Cloud Self-Supervised Learning
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren
Guofeng Mei
D. Paudel
Weijie Wang
Yawei Li
Mengyuan Liu
Rita Cucchiara
Luc Van Gool
N. Sebe
3DPC
50
9
0
08 Jul 2024
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
Milad Cheraghalikhani
G. A. V. Hakim
David Osowiechi
Farzad Beizaee
Ismail Ben Ayed
Christian Desrosiers
3DPC
78
1
0
20 May 2024
REPS: Reconstruction-based Point Cloud Sampling
REPS: Reconstruction-based Point Cloud Sampling
Guoqing Zhang
Wenbo Zhao
Jian Liu
Xianming Liu
3DPC
33
0
0
08 Mar 2024
Point Deformable Network with Enhanced Normal Embedding for Point Cloud
  Analysis
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis
Xingyilang Yin
Xi Yang
Liangchen Liu
Nannan Wang
Xinbo Gao
3DPC
31
3
0
20 Dec 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
Shutao Xia
VLM
48
45
0
14 Apr 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 Mian
ViT
3DPC
14
3
0
08 Mar 2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
Cheng Wen
Jia-Li Long
B. Yu
Dacheng Tao
3DPC
40
7
0
10 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
38
117
0
05 Feb 2023
Dynamic Local Feature Aggregation for Learning on Point Clouds
Dynamic Local Feature Aggregation for Learning on Point Clouds
Zihao Li
Pan Gao
Hui Yuan
Ran Wei
3DPC
27
3
0
07 Jan 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
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud
  Classification and Segmentation
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation
Dening Lu
K. Gao
Qian Xie
Linlin Xu
Jonathan Li
3DPC
ViT
35
4
0
21 Sep 2022
Rethinking the compositionality of point clouds through regularization
  in the hyperbolic space
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
Antonio Montanaro
D. Valsesia
E. Magli
3DPC
46
31
0
21 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
40
7
0
13 Jul 2022
Advanced Feature Learning on Point Clouds using Multi-resolution
  Features and Learnable Pooling
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
Kevin Tirta Wijaya
Dong-Hee Paek
Seung-Hyun Kong
3DPC
24
21
0
20 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
Masked Autoencoders for Point Cloud Self-supervised Learning
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang
Wenxiao Wang
Francis E. H. Tay
Wei Liu
Yonghong Tian
Liuliang Yuan
3DPC
ViT
33
454
0
13 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
Dual Transformer for Point Cloud Analysis
Dual Transformer for Point Cloud Analysis
Xian-Feng Han
Yi-Fei Jin
Hui Cheng
Guoqiang Xiao
ViT
36
73
0
27 Apr 2021
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
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
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
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