ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.08889
  4. Cited By
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
ArXivPDFHTML

Papers citing "KPConv: Flexible and Deformable Convolution for Point Clouds"

50 / 1,109 papers shown
Title
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A
  Review
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui
Ren‐Hao Chen
Wenbo Chu
Long Chen
Daxin Tian
Ying Li
Dongpu Cao
3DPC
32
385
0
10 Apr 2020
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
Alexandre Boulch
Gilles Puy
Renaud Marlet
3DPC
19
2
0
09 Apr 2020
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
Johanna Wald
Helisa Dhamo
Nassir Navab
Federico Tombari
3DV
3DPC
24
212
0
08 Apr 2020
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
Tai Wang
Xinge Zhu
Dahua Lin
3DPC
33
29
0
06 Apr 2020
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental
  Study
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study
Larissa T. Triess
David Peter
Christoph B. Rist
Johann Marius Zöllner
3DPC
25
38
0
06 Apr 2020
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point
  Clouds Segmentation
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation
Yang Zheng
I. Izzat
S. Song
3DPC
30
0
0
05 Apr 2020
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from
  a Single RGB Image
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
Despoina Paschalidou
Luc van Gool
Andreas Geiger
3DV
OCL
34
107
0
02 Apr 2020
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
Jonas Schult
Francis Engelmann
Theodora Kontogianni
Bastian Leibe
3DPC
3DV
28
84
0
02 Apr 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape
  Correspondence
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
Nicolas Donati
Abhishek Sharma
M. Ovsjanikov
AAML
3DPC
27
154
0
31 Mar 2020
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation
  on Point Clouds
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Jiacheng Wei
Guosheng Lin
Kim-Hui Yap
Tzu-Yi Hung
Lihua Xie
3DPC
23
133
0
29 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
33
131
0
29 Mar 2020
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
Marios Loizou
Siddhant Garg
Dmitry Petrov
Melinos Averkiou
E. Kalogerakis
3DPC
27
2
0
20 Mar 2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation
  of Urban Roadways
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
W. Tan
Nannan Qin
Lingfei Ma
Ying Li
Jing Du
Guorong Cai
Ke Yang
Jonathan Li
3DPC
17
196
0
18 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
120
109
0
16 Mar 2020
Non-Local Part-Aware Point Cloud Denoising
Non-Local Part-Aware Point Cloud Denoising
Chao Huang
Ruihui Li
Xianzhi Li
Chi-Wing Fu
3DPC
25
9
0
14 Mar 2020
Learning to Segment 3D Point Clouds in 2D Image Space
Learning to Segment 3D Point Clouds in 2D Image Space
Yecheng Lyu
Xinming Huang
Ziming Zhang
3DPC
20
52
0
12 Mar 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local
  Features
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Xuyang Bai
Zixin Luo
Lei Zhou
Hongbo Fu
Long Quan
Chiew-Lan Tai
3DPC
39
385
0
06 Mar 2020
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI
Jens Behley
Andres Milioto
C. Stachniss
ISeg
36
67
0
04 Mar 2020
Implicit Functions in Feature Space for 3D Shape Reconstruction and
  Completion
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane
Thiemo Alldieck
Gerard Pons-Moll
3DPC
55
492
0
03 Mar 2020
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud
  Semantic Segmentation
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation
Peng-Tao Jiang
Srikanth Saripalli
3DPC
45
15
0
02 Mar 2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Xi Yang
Ding Xia
Taichi Kin
Takeo Igarashi
17
71
0
02 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks
  with Adaptive Sampling
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Xu Yan
Chaoda Zheng
Zhuguo Li
Sheng Wang
Shuguang Cui
3DPC
34
544
0
01 Mar 2020
Triangle-Net: Towards Robustness in Point Cloud Learning
Triangle-Net: Towards Robustness in Point Cloud Learning
Chenxi Xiao
J. Wachs
3DH
3DPC
31
34
0
27 Feb 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud
  Classification
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
22
145
0
25 Feb 2020
FPConv: Learning Local Flattening for Point Convolution
FPConv: Learning Local Flattening for Point Convolution
Yiqun Lin
Zizheng Yan
Haibin Huang
Dong Du
Ligang Liu
Shuguang Cui
Xiaoguang Han
3DPC
19
145
0
25 Feb 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes
Continuous Geodesic Convolutions for Learning on 3D Shapes
Zhangsihao Yang
Or Litany
Tolga Birdal
Srinath Sridhar
Leonidas J. Guibas
3DH
3DPC
3DV
18
29
0
06 Feb 2020
Learning and Memorizing Representative Prototypes for 3D Point Cloud
  Semantic and Instance Segmentation
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
Tong He
Dong Gong
Zhi Tian
Chunhua Shen
3DV
43
39
0
06 Jan 2020
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi
Chaoxu Guo
Li Jiang
Zhe Wang
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
38
1,744
0
31 Dec 2019
Pointwise Attention-Based Atrous Convolutional Neural Networks
Pointwise Attention-Based Atrous Convolutional Neural Networks
M. Mahdavi
Fahimeh Fooladgar
S. Kasaei
3DPC
28
3
0
27 Dec 2019
Deep Learning for 3D Point Clouds: A Survey
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo
Hanyun Wang
Qingyong Hu
Hao Liu
Li Liu
Bennamoun
3DPC
27
1,645
0
27 Dec 2019
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH
3DV
22
984
0
16 Dec 2019
SampleNet: Differentiable Point Cloud Sampling
SampleNet: Differentiable Point Cloud Sampling
Itai Lang
Asaf Manor
S. Avidan
3DPC
16
163
0
08 Dec 2019
Grid-GCN for Fast and Scalable Point Cloud Learning
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
3DPC
GNN
34
244
0
06 Dec 2019
SGAS: Sequential Greedy Architecture Search
SGAS: Sequential Greedy Architecture Search
Ge Li
Guocheng Qian
Itzel C. Delgadillo
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
28
184
0
30 Nov 2019
Geometric Back-projection Network for Point Cloud Classification
Geometric Back-projection Network for Point Cloud Classification
S. Qiu
Saeed Anwar
Nick Barnes
3DPC
36
3
0
28 Nov 2019
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic
  Segmentation
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
M. Jaritz
Tuan-Hung Vu
Raoul de Charette
É. Wirbel
P. Pérez
3DPC
19
195
0
28 Nov 2019
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
A. Trigoni
Andrew Markham
3DPC
24
1,473
0
25 Nov 2019
Tabulated MLP for Fast Point Feature Embedding
Tabulated MLP for Fast Point Feature Embedding
Yusuke Sekikawa
Teppei Suzuki
21
5
0
23 Nov 2019
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Jean-Baptiste Weibel
T. Patten
Markus Vincze
3DPC
11
13
0
28 Oct 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang
Justin Solomon
SSL
3DPC
25
379
0
27 Oct 2019
PointRNN: Point Recurrent Neural Network for Moving Point Cloud
  Processing
PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
Hehe Fan
Yezhou Yang
3DPC
32
87
0
18 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
168
0
15 Oct 2019
Density-Aware Convolutional Networks with Context Encoding for Airborne
  LiDAR Point Cloud Classification
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
Xiang Li
Lingjing Wang
Mingyang Wang
Lingjing Wang
Congcong Wen
Yi Fang
3DPC
13
33
0
14 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object
  Deformation
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao
Xizhou Zhu
Steve Lin
Jifeng Dai
21
64
0
07 Oct 2019
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Mingtao Feng
Liang Zhang
Xuefei Lin
Syed Zulqarnain Gilani
Ajmal Mian
3DPC
59
150
0
27 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
30
166
0
20 Sep 2019
GMLS-Nets: A framework for learning from unstructured data
GMLS-Nets: A framework for learning from unstructured data
Nathaniel Trask
Ravi G. Patel
B. Gross
P. Atzberger
13
42
0
07 Sep 2019
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of
  Local Regions on Point Clouds using Spatial-aware Capsules
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules
Xin Wen
Zhizhong Han
Xinhai Liu
Yu-Shen Liu
3DPC
21
38
0
29 Aug 2019
Directionally Constrained Fully Convolutional Neural Network For
  Airborne Lidar Point Cloud Classification
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Congcong Wen
Lina Yang
Ling Peng
Xiang Li
T. Chi
3DPC
26
99
0
19 Aug 2019
Deformable Filter Convolution for Point Cloud Reasoning
Deformable Filter Convolution for Point Cloud Reasoning
Yuwen Xiong
Mengye Ren
Renjie Liao
K. Wong
R. Urtasun
3DPC
34
17
0
30 Jul 2019
Previous
123...212223
Next