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Adaptive Hierarchical Down-Sampling for Point Cloud Classification

Adaptive Hierarchical Down-Sampling for Point Cloud Classification

11 April 2019
E. Nezhadarya
E. Taghavi
Ryan Razani
Bingbing Liu
Jun Luo
    3DPC
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Papers citing "Adaptive Hierarchical Down-Sampling for Point Cloud Classification"

15 / 15 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
54
0
0
28 Apr 2025
RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose
  Estimation
RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation
Pavel Petráček
Kostas Alexis
Martin Saska
3DPC
37
3
0
12 Dec 2023
Local region-learning modules for point cloud classification
Local region-learning modules for point cloud classification
Kaya Turgut
H. Dutagaci
3DPC
19
3
0
30 Mar 2023
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
Surface Representation for Point Clouds
Surface Representation for Point Clouds
Haoxi Ran
Jun Liu
Chengjie Wang
3DPC
28
155
0
11 May 2022
RBGNet: Ray-based Grouping for 3D Object Detection
RBGNet: Ray-based Grouping for 3D Object Detection
Haiyang Wang
Shaoshuai Shi
Ze Yang
Rongyao Fang
Qishu Qian
Hongsheng Li
Bernt Schiele
Liwei Wang
3DPC
35
59
0
05 Apr 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
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object
  Detection
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection
Chen Chen
Zhe Chen
Jing Zhang
Dacheng Tao
3DPC
30
119
0
06 Jan 2022
PnP-DETR: Towards Efficient Visual Analysis with Transformers
PnP-DETR: Towards Efficient Visual Analysis with Transformers
Tao Wang
Li Yuan
Yunpeng Chen
Jiashi Feng
Shuicheng Yan
ViT
24
82
0
15 Sep 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
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and
  Recovery
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
Weibing Zhao
Xu Yan
Jiantao Gao
Ruimao Zhang
Jiayan Zhang
Zhen Li
Song Wu
Shuguang Cui
3DPC
16
7
0
30 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
36
73
0
27 Apr 2021
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
SampleNet: Differentiable Point Cloud Sampling
SampleNet: Differentiable Point Cloud Sampling
Itai Lang
Asaf Manor
S. Avidan
3DPC
16
163
0
08 Dec 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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