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Dense-Resolution Network for Point Cloud Classification and Segmentation

Dense-Resolution Network for Point Cloud Classification and Segmentation

14 May 2020
Shi Qiu
Saeed Anwar
Nick Barnes
    3DPC
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Papers citing "Dense-Resolution Network for Point Cloud Classification and Segmentation"

42 / 42 papers shown
Title
SignX: The Foundation Model for Sign Recognition
SignX: The Foundation Model for Sign Recognition
Sen Fang
Chunyu Sui
Hongwei Yi
C. Neidle
Dimitris N. Metaxas
SLR
35
0
0
22 Apr 2025
KAN or MLP? Point Cloud Shows the Way Forward
KAN or MLP? Point Cloud Shows the Way Forward
Yan Shi
Qingdong He
Yijun Liu
Xiaoyu Liu
Jingyong Su
3DPC
30
0
0
18 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
GPSFormer: A Global Perception and Local Structure Fitting-based
  Transformer for Point Cloud Understanding
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding
Changshuo Wang
Meiqing Wu
S. Lam
Xin Ning
Shangshu Yu
Ruiping Wang
Weijun Li
T. Srikanthan
36
13
0
18 Jul 2024
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for
  Classification and Segmentation
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation
Zihao Li
Pan Gao
Kang-Soo You
Chuan Yan
Manoranjan Paul
3DPC
26
0
0
12 Jul 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
43
7
0
08 Jul 2024
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State
  Space Model
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
Xu Han
Yuan Tang
Zhaoxuan Wang
Xianzhi Li
35
22
0
23 Apr 2024
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
Ziyi Wang
Xumin Yu
Yongming Rao
Jie Zhou
Jiwen Lu
DiffM
3DPC
19
18
0
27 Jul 2023
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
Rui-Qing Cui
Shi Qiu
Saeed Anwar
Jiawei Liu
Chaoyue Xing
Jing Zhang
Nick Barnes
3DPC
44
21
0
27 Jul 2023
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Haibo Qiu
Baosheng Yu
Dacheng Tao
3DPC
ViT
22
5
0
02 Jun 2023
VTPNet for 3D deep learning on point cloud
VTPNet for 3D deep learning on point cloud
Wei Zhou
Weiwei Jin
Qian Wang
Yifan Wang
Dekui Wang
Xingxing Hao
Yong Yu
3DPC
ViT
14
0
0
10 May 2023
Exploiting Inductive Bias in Transformer for Point Cloud Classification
  and Segmentation
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Zihao Li
Pan Gao
Hui Yuan
Ran Wei
M. Paul
3DPC
ViT
19
6
0
27 Apr 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
40
45
0
14 Apr 2023
Local region-learning modules for point cloud classification
Local region-learning modules for point cloud classification
Kaya Turgut
H. Dutagaci
3DPC
14
3
0
30 Mar 2023
Self-positioning Point-based Transformer for Point Cloud Understanding
Self-positioning Point-based Transformer for Point Cloud Understanding
Jinyoung Park
S. Lee
S. Kim
Yunyang Xiong
Hyunwoo J. Kim
ViT
3DPC
33
56
0
29 Mar 2023
Parameter is Not All You Need: Starting from Non-Parametric Networks for
  3D Point Cloud Analysis
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Renrui Zhang
Liuhui Wang
Ziyu Guo
Yali Wang
Peng Gao
Hongsheng Li
Jianbo Shi
3DPC
24
51
0
14 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
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
28
117
0
05 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
19
83
0
16 Dec 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
K. Jia
Lei Zhang
3DPC
17
6
0
13 Nov 2022
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context
  Propagation in Transformers
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
Zhuo Huang
Zhiyou Zhao
Banghuai Li
Jungong Han
3DPC
ViT
23
55
0
23 Oct 2022
Isomorphic mesh generation from point clouds with multilayer perceptrons
Isomorphic mesh generation from point clouds with multilayer perceptrons
Shoko Miyauchi
K. Morooka
Ryo Kurazume
3DPC
27
1
0
21 Oct 2022
Let Images Give You More:Point Cloud Cross-Modal Training for Shape
  Analysis
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis
Xu Yan
Heshen Zhan
Chaoda Zheng
Jiantao Gao
Ruimao Zhang
Shuguang Cui
Zhen Li
3DPC
49
32
0
09 Oct 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
27
4
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
25
7
0
13 Jul 2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling
  Strategies
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Guocheng Qian
Yuchen Li
Houwen Peng
Jinjie Mai
Hasan Hammoud
Mohamed Elhoseiny
Bernard Ghanem
3DPC
28
591
0
09 Jun 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
19
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
31
6
0
02 May 2022
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
Dening Lu
Qian Xie
Linlin Xu
Jonathan Li
3DV
16
67
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
579
0
15 Feb 2022
CloudWalker: Random walks for 3D point cloud shape analysis
CloudWalker: Random walks for 3D point cloud shape analysis
Adi Mesika
Yizhak Ben-Shabat
A. Tal
3DPC
19
9
0
02 Dec 2021
PU-Transformer: Point Cloud Upsampling Transformer
PU-Transformer: Point Cloud Upsampling Transformer
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
ViT
22
50
0
24 Nov 2021
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point
  Clouds
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
R. Wiersma
Ahmad Nasikun
E. Eisemann
Klaus Hildebrandt
3DPC
11
16
0
16 Nov 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
20
27
0
16 Aug 2021
Investigating Attention Mechanism in 3D Point Cloud Object Detection
Investigating Attention Mechanism in 3D Point Cloud Object Detection
Shi Qiu
Yunfan Wu
Saeed Anwar
Chongyi Li
3DPC
15
29
0
02 Aug 2021
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained
  Models
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
Chenfeng Xu
Shijia Yang
Tomer Galanti
Bichen Wu
Xiangyu Yue
Bohan Zhai
Wei Zhan
Peter Vajda
Kurt Keutzer
M. Tomizuka
3DPC
31
53
0
08 Jun 2021
Point Cloud Learning with Transformer
Point Cloud Learning with Transformer
Xian-Feng Han
Yuming Kuang
ViT
29
32
0
28 Apr 2021
Dual Transformer for Point Cloud Analysis
Dual Transformer for Point Cloud Analysis
Xian-Feng Han
Yi-Fei Jin
Hui Cheng
Guoqiang Xiao
ViT
34
72
0
27 Apr 2021
Semantic Segmentation for Real Point Cloud Scenes via Bilateral
  Augmentation and Adaptive Fusion
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
26
203
0
12 Mar 2021
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
46
39
0
22 Jul 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
115
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
150
766
0
30 Mar 2018
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