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KPConv: Flexible and Deformable Convolution for Point Clouds

KPConv: Flexible and Deformable Convolution for Point Clouds

18 April 2019
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas J. Guibas
    3DPC
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Papers citing "KPConv: Flexible and Deformable Convolution for Point Clouds"

50 / 1,111 papers shown
Title
Dynamic Convolution for 3D Point Cloud Instance Segmentation
Dynamic Convolution for 3D Point Cloud Instance Segmentation
Tong He
Chunhua Shen
Anton Van Den Hengel
3DPC
27
13
0
18 Jul 2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
Aihua Mao
Zihui Du
Junhui Hou
Yaqi Duan
Yong Liu
Ying He
3DPC
39
35
0
13 Jul 2021
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic
  Segmentation
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
Aoran Xiao
Jiaxing Huang
Dayan Guan
Fangneng Zhan
Shijian Lu
3DPC
13
91
0
12 Jul 2021
Task-Aware Sampling Layer for Point-Wise Analysis
Task-Aware Sampling Layer for Point-Wise Analysis
Yiqun Lin
Lichang Chen
Haibin Huang
Chongyang Ma
Xiaoguang Han
Shuguang Cui
3DPC
31
9
0
09 Jul 2021
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and
  Segmentation for Lidars
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars
Yuanxin Zhong
Minghan Zhu
H. Peng
3DPC
31
11
0
07 Jul 2021
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
Xiang Li
Lingjing Wang
Yi Fang
3DPC
11
0
0
07 Jul 2021
Point Cloud Registration using Representative Overlapping Points
Point Cloud Registration using Representative Overlapping Points
Lifa Zhu
Dongrui Liu
Changwei Lin
Rui Yan
Francisco Gómez Fernández
Ninghua Yang
Ziyong Feng
3DPC
27
24
0
06 Jul 2021
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
Similarity-Aware Fusion Network for 3D Semantic Segmentation
Similarity-Aware Fusion Network for 3D Semantic Segmentation
Linqing Zhao
Jiwen Lu
Jie Zhou
3DPC
30
14
0
04 Jul 2021
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
Dan Jia
Bastian Leibe
3DH
3DPC
29
4
0
03 Jul 2021
Language-Level Semantics Conditioned 3D Point Cloud Segmentation
Language-Level Semantics Conditioned 3D Point Cloud Segmentation
Bo Liu
Shuang Deng
Qiulei Dong
Zhanyi Hu
3DPC
36
8
0
01 Jul 2021
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure
Lin Li
Xin Kong
Xiangrui Zhao
Wanlong Li
Feng Wen
Hongbo Zhang
Yong Liu
27
79
0
22 Jun 2021
2D vs. 3D LiDAR-based Person Detection on Mobile Robots
2D vs. 3D LiDAR-based Person Detection on Mobile Robots
Dan Jia
Alexander Hermans
Bastian Leibe
3DPC
36
9
0
21 Jun 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One
  Go
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
Marvin Eisenberger
David Novotny
Gael Kerchenbaum
Patrick Labatut
Natalia Neverova
Daniel Cremers
Andrea Vedaldi
3DH
3DPC
20
67
0
17 Jun 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective
  Baseline
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Jia Deng
3DPC
47
229
0
09 Jun 2021
Neural Implicit 3D Shapes from Single Images with Spatial Patterns
Neural Implicit 3D Shapes from Single Images with Spatial Patterns
Yixin Zhuang
Yunzhe Liu
Yujie Wang
Baoquan Chen
3DPC
22
0
0
06 Jun 2021
DLA-Net: Learning Dual Local Attention Features for Semantic
  Segmentation of Large-Scale Building Facade Point Clouds
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds
Yanfei Su
Weiquan Liu
Zhimin Yuan
Ming Cheng
Zhihong Zhang
Xuelun Shen
Cheng-Yu Wang
3DPC
30
39
0
01 Jun 2021
VA-GCN: A Vector Attention Graph Convolution Network for learning on
  Point Clouds
VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds
Haotian Hu
Fanyi Wang
Huixiao Le
3DPC
31
2
0
01 Jun 2021
Less is More: Pay Less Attention in Vision Transformers
Less is More: Pay Less Attention in Vision Transformers
Zizheng Pan
Bohan Zhuang
Haoyu He
Jing Liu
Jianfei Cai
ViT
24
82
0
29 May 2021
MeshCNN Fundamentals: Geometric Learning through a Reconstructable
  Representation
MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation
Amir Barda
Yotam Erel
Amit H. Bermano
3DV
26
2
0
27 May 2021
Local Latent Representation based on Geometric Convolution for Particle
  Data Feature Exploration
Local Latent Representation based on Geometric Convolution for Particle Data Feature Exploration
Haoyu Li
Han-Wei Shen
3DPC
19
2
0
27 May 2021
Hyper-Convolution Networks for Biomedical Image Segmentation
Hyper-Convolution Networks for Biomedical Image Segmentation
Tianyu Ma
Adrian Dalca
M. Sabuncu
SSeg
41
15
0
21 May 2021
Learning general and distinctive 3D local deep descriptors for point
  cloud registration
Learning general and distinctive 3D local deep descriptors for point cloud registration
Fabio Poiesi
Davide Boscaini
3DPC
38
62
0
21 May 2021
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field
  Component Reasoning
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
Jing-yu Gong
Jiachen Xu
Xin Tan
Haichuan Song
Yanyun Qu
Yuan Xie
Lizhuang Ma
3DPC
23
43
0
21 May 2021
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach
  Exploiting Sequential Data
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data
Xieyuanli Chen
Shijie Li
Benedikt Mersch
Louis Wiesmann
Jurgen Gall
Jens Behley
C. Stachniss
3DPC
30
181
0
19 May 2021
GPR: Grasp Pose Refinement Network for Cluttered Scenes
GPR: Grasp Pose Refinement Network for Cluttered Scenes
Wei Wei
Yongkang Luo
Fuyu Li
Guangyun Xu
Jun Zhong
Wanyi Li
Peng Wang
3DPC
25
33
0
18 May 2021
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs
  and Position-aware Flow Embedding
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding
Ruibo Li
Guosheng Lin
Tong He
Fayao Liu
Chunhua Shen
3DPC
46
56
0
17 May 2021
3D Spatial Recognition without Spatially Labeled 3D
3D Spatial Recognition without Spatially Labeled 3D
Zhongzheng Ren
Ishan Misra
Alex Schwing
Rohit Girdhar
3DPC
30
57
0
13 May 2021
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
Bing Li
Cheng Zheng
Silvio Giancola
Guohao Li
ViT
3DPC
27
44
0
10 May 2021
Deep Weighted Consensus: Dense correspondence confidence maps for 3D
  shape registration
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration
Dvir Ginzburg
D. Raviv
3DPC
27
7
0
06 May 2021
Beyond Self-attention: External Attention using Two Linear Layers for
  Visual Tasks
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
Meng-Hao Guo
Zheng-Ning Liu
Tai-Jiang Mu
Shimin Hu
28
473
0
05 May 2021
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
Florian Kluger
H. Ackermann
Eric Brachmann
M. Yang
Bodo Rosenhahn
3DV
33
24
0
05 May 2021
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud
  Semantic Segmentation
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation
Puzuo Wang
W. Yao
3DPC
17
9
0
05 May 2021
Intensity Harmonization for Airborne LiDAR
Intensity Harmonization for Airborne LiDAR
David G. Jones
Nathan Jacobs
30
2
0
04 May 2021
Deep Convolution for Irregularly Sampled Temporal Point Clouds
Deep Convolution for Irregularly Sampled Temporal Point Clouds
Erich Merrill
Stefan Lee
Li Fuxin
Thomas G. Dietterich
Alan Fern
3DPC
34
1
0
01 May 2021
Point Cloud Learning with Transformer
Point Cloud Learning with Transformer
Xian-Feng Han
Yuming Kuang
ViT
45
33
0
28 Apr 2021
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud
  Representation
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation
Xian-Feng Han
Z. He
Jia Chen
Guoqiang Xiao
3DPC
43
3
0
27 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
48
73
0
27 Apr 2021
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object
  Detection with Transformers
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
Tianrui Guan
Jun Wang
Shiyi Lan
Rohan Chandra
Zuxuan Wu
Larry S. Davis
Tianyi Zhou
ViT
3DPC
37
119
0
24 Apr 2021
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis
Ran Ben Izhak
Alon Lahav
A. Tal
3DV
39
10
0
23 Apr 2021
Pri3D: Can 3D Priors Help 2D Representation Learning?
Pri3D: Can 3D Priors Help 2D Representation Learning?
Ji Hou
Saining Xie
Benjamin Graham
Angela Dai
Matthias Nießner
SSL
3DPC
MDE
85
80
0
22 Apr 2021
Variational Relational Point Completion Network
Variational Relational Point Completion Network
Liang Pan
Xinyi Chen
Zhongang Cai
Junzhe Zhang
Haiyu Zhao
Shuai Yi
Ziwei Liu
3DPC
206
177
0
20 Apr 2021
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Mingmei Cheng
Le Hui
Jin Xie
Jian Yang
3DPC
28
94
0
16 Apr 2021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling
Towards Efficient Graph Convolutional Networks for Point Cloud Handling
Yawei Li
He Chen
Zhaopeng Cui
Radu Timofte
Marc Pollefeys
Gregory Chirikjian
Luc Van Gool
3DPC
GNN
28
25
0
12 Apr 2021
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point
  Clouds
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
Qingyong Hu
Bo Yang
Guangchi Fang
Yulan Guo
A. Leonardis
Niki Trigoni
Andrew Markham
3DPC
39
118
0
11 Apr 2021
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D
  Pretraining
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining
Yueh-Cheng Liu
Yu-Kai Huang
HungYueh Chiang
Hung-Ting Su
Zhe-Yu Liu
Chin-Tang Chen
Ching-Yu Tseng
Winston H. Hsu
3DPC
25
35
0
10 Apr 2021
Field Convolutions for Surface CNNs
Field Convolutions for Surface CNNs
Thomas W. Mitchel
Vladimir G. Kim
Michael Kazhdan
29
19
0
08 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
38
131
0
06 Apr 2021
3D-to-2D Distillation for Indoor Scene Parsing
3D-to-2D Distillation for Indoor Scene Parsing
Zhengzhe Liu
Xiaojuan Qi
Chi-Wing Fu
30
59
0
06 Apr 2021
Potential Convolution: Embedding Point Clouds into Potential Fields
Potential Convolution: Embedding Point Clouds into Potential Fields
Dengsheng Chen
Haowen Deng
Jun Li
Duo Li
Yao Duan
Kai Xu
3DPC
26
0
0
05 Apr 2021
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