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FKAConv: Feature-Kernel Alignment for Point Cloud Convolution

FKAConv: Feature-Kernel Alignment for Point Cloud Convolution

9 April 2020
Alexandre Boulch
Gilles Puy
Renaud Marlet
    3DPC
ArXivPDFHTML

Papers citing "FKAConv: Feature-Kernel Alignment for Point Cloud Convolution"

4 / 4 papers shown
Title
Learning Semantic Segmentation of Large-Scale Point Clouds with Random
  Sampling
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
Niki Trigoni
Andrew Markham
3DPC
20
178
0
06 Jul 2021
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
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
263
1,812
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
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