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FPConv: Learning Local Flattening for Point Convolution

FPConv: Learning Local Flattening for Point Convolution

25 February 2020
Yiqun Lin
Zizheng Yan
Haibin Huang
Dong Du
Ligang Liu
Shuguang Cui
Xiaoguang Han
    3DPC
ArXivPDFHTML

Papers citing "FPConv: Learning Local Flattening for Point Convolution"

19 / 19 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
Exploiting Hierarchical Interactions for Protein Surface Learning
Exploiting Hierarchical Interactions for Protein Surface Learning
Yiqun Lin
Liang Pan
Yi Li
Ziwei Liu
Xiaomeng Li
32
1
0
17 Jan 2024
3D Understanding of Deformable Linear Objects: Datasets and
  Transferability Benchmark
3D Understanding of Deformable Linear Objects: Datasets and Transferability Benchmark
Bare Luka vZagar
Tim Hertel
Mingyu Liu
Ekim Yurtsever
Alois C. Knoll
3DPC
20
0
0
13 Oct 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
19
3
0
07 Jan 2023
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis
Shanshan Zhao
Mingming Gong
Xi Li
Dacheng Tao
3DPC
14
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
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
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
39
98
0
22 Nov 2021
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
Renrui Zhang
Ziyao Zeng
Ziyu Guo
Xing Gao
Kexue Fu
Jianbo Shi
3DPC
22
26
0
19 Nov 2021
Efficient 3D Deep LiDAR Odometry
Efficient 3D Deep LiDAR Odometry
Guangming Wang
Xin Wu
Shuyang Jiang
Zhe Liu
Hesheng Wang
3DPC
33
46
0
03 Nov 2021
Learning Inner-Group Relations on Point Clouds
Learning Inner-Group Relations on Point Clouds
Haoxi Ran
Wei Zhuo
J. Liu
Li Lu
3DPC
35
59
0
27 Aug 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
73
0
27 Apr 2021
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D
  Semantic Segmentation
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
Zhengzhe Liu
Xiaojuan Qi
Chi-Wing Fu
3DPC
30
129
0
06 Apr 2021
Bidirectional Projection Network for Cross Dimension Scene Understanding
Bidirectional Projection Network for Cross Dimension Scene Understanding
Wenbo Hu
Hengshuang Zhao
Li Jiang
Jiaya Jia
T. Wong
3DV
3DPC
25
131
0
26 Mar 2021
Learning Geometry-Disentangled Representation for Complementary
  Understanding of 3D Object Point Cloud
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
Mutian Xu
Junhao Zhang
Zhipeng Zhou
Mingye Xu
Xiaojuan Qi
Yu Qiao
3DPC
29
132
0
20 Dec 2020
Dynamic Plane Convolutional Occupancy Networks
Dynamic Plane Convolutional Occupancy Networks
S. Lionar
D. Emtsev
Dusan Svilarkovic
Songyou Peng
3DPC
3DV
19
37
0
11 Nov 2020
PointManifold: Using Manifold Learning for Point Cloud Classification
PointManifold: Using Manifold Learning for Point Cloud Classification
Dinghao Yang
Wei Gao
3DPC
26
4
0
14 Oct 2020
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
768
0
30 Mar 2018
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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