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Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point
  Cloud Models

Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

4 April 2017
Roman Klokov
Victor Lempitsky
    3DV
ArXivPDFHTML

Papers citing "Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models"

50 / 190 papers shown
Title
A Survey on Deep Domain Adaptation for LiDAR Perception
A Survey on Deep Domain Adaptation for LiDAR Perception
Larissa T. Triess
M. Dreissig
Christoph B. Rist
J. Marius Zöllner
49
66
0
04 Jun 2021
Subdivision-Based Mesh Convolution Networks
Subdivision-Based Mesh Convolution Networks
Shimin Hu
Zheng-Ning Liu
Meng-Hao Guo
Junxiong Cai
Jiahui Huang
Tai-Jiang Mu
Ralph Robert Martin
3DV
26
121
0
04 Jun 2021
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended
  Domains
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains
Hamidreza Kasaei
Sha Luo
Remo Sasso
Mohammadreza Kasaei
35
12
0
03 Jun 2021
Learning to Stylize Novel Views
Learning to Stylize Novel Views
Hsin-Ping Huang
Hung-Yu Tseng
Saurabh Saini
M. Singh
Ming-Hsuan Yang
35
78
0
27 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
475
0
05 May 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
151
283
0
04 May 2021
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D
  Deep Learning
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
Wei Zhou
Xin Cao
Xiaodan Zhang
Xingxing Hao
Dekui Wang
Ying He
3DPC
30
1
0
30 Apr 2021
Point Cloud Learning with Transformer
Point Cloud Learning with Transformer
Xian-Feng Han
Yuming Kuang
ViT
48
33
0
28 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
Improvement of Normal Estimation for PointClouds via Simplifying Surface
  Fitting
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
Jun Zhou
Wei Jin
Mingjie Wang
Xiuping Liu
Zhiyang Li
Zhaobin Liu
3DPC
27
19
0
21 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
35
94
0
16 Apr 2021
FatNet: A Feature-attentive Network for 3D Point Cloud Processing
FatNet: A Feature-attentive Network for 3D Point Cloud Processing
Chaitanya Kaul
Nick E. Pears
S. Manandhar
3DPC
36
25
0
07 Apr 2021
Exploiting Local Geometry for Feature and Graph Construction for Better
  3D Point Cloud Processing with Graph Neural Networks
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
Siddharth Srivastava
Gaurav Sharma
3DPC
32
15
0
28 Mar 2021
3D Semantic Scene Completion: a Survey
3D Semantic Scene Completion: a Survey
Luis Roldão
Raoul de Charette
Anne Verroust-Blondet
3DV
31
92
0
12 Mar 2021
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification
  and Segmentation
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
Yecheng Lyu
Xinming Huang
Ziming Zhang
3DPC
30
9
0
03 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
39
6
0
01 Mar 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
137
267
0
07 Jan 2021
Learning Rotation-Invariant Representations of Point Clouds Using
  Aligned Edge Convolutional Neural Networks
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
Junming Zhang
Ming-Yuan Yu
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
47
24
0
02 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
31
115
0
02 Jan 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
117
66
0
31 Dec 2020
Hausdorff Point Convolution with Geometric Priors
Hausdorff Point Convolution with Geometric Priors
Pengdi Huang
Liqiang Lin
Fuyou Xue
Kai Xu
Danny Cohen-Or
Hui Huang
3DPC
31
3
0
24 Dec 2020
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
34
132
0
20 Dec 2020
PCT: Point cloud transformer
PCT: Point cloud transformer
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
ViT
3DPC
65
1,582
0
17 Dec 2020
On Learning the Right Attention Point for Feature Enhancement
On Learning the Right Attention Point for Feature Enhancement
Liqiang Lin
Pengdi Huang
FU Chi-Wing
XU Kai
Hao Zhang
Hui Huang
3DPC
36
7
0
11 Dec 2020
Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape
  Recognition
Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition
Zhaoqun Li
Hongren Wang
Jinxing Li
3DPC
3DV
23
8
0
10 Dec 2020
ODFNet: Using orientation distribution functions to characterize 3D
  point clouds
ODFNet: Using orientation distribution functions to characterize 3D point clouds
Y. Sahin
Alican Mertan
Gözde B. Ünal
3DPC
21
7
0
08 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
Takumi Kimura
Takashi Matsubara
K. Uehara
3DPC
31
8
0
04 Dec 2020
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of
  Point Clouds
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
Yi Wei
Ziyi Wang
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
29
98
0
02 Dec 2020
MVTN: Multi-View Transformation Network for 3D Shape Recognition
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Abdullah Hamdi
Silvio Giancola
Guohao Li
3DV
3DPC
38
199
0
26 Nov 2020
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud
  Segmentation
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation
Juyoung Yang
Chanho Lee
Pyunghwan Ahn
Haeil Lee
Eojindl Yi
Junmo Kim
3DPC
23
11
0
02 Nov 2020
Learning Occupancy Function from Point Clouds for Surface Reconstruction
Learning Occupancy Function from Point Clouds for Surface Reconstruction
Menglin Jia
M. Kyan
3DPC
30
18
0
22 Oct 2020
Self-Supervised Learning of Part Mobility from Point Cloud Sequence
Self-Supervised Learning of Part Mobility from Point Cloud Sequence
Yahao Shi
Xinyu Cao
Bin Zhou
3DPC
27
15
0
20 Oct 2020
Deep Learning for 3D Point Cloud Understanding: A Survey
Deep Learning for 3D Point Cloud Understanding: A Survey
Haoming Lu
Humphrey Shi
3DPC
20
32
0
18 Sep 2020
Robust Object Classification Approach using Spherical Harmonics
Robust Object Classification Approach using Spherical Harmonics
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC
18
6
0
02 Sep 2020
Cross-modal Center Loss
Cross-modal Center Loss
Longlong Jing
Elahe Vahdani
Jiaxing Tan
Yingli Tian
3DPC
12
4
0
08 Aug 2020
Global Context Aware Convolutions for 3D Point Cloud Understanding
Global Context Aware Convolutions for 3D Point Cloud Understanding
Zhiyuan Zhang
Binh-Son Hua
Wei Chen
Yibin Tian
Sai-Kit Yeung
3DPC
18
41
0
07 Aug 2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed
Tianxing Jiang
Quintessa Qiao
N. Xu
Vladimir G. Kim
3DPC
SSL
16
116
0
01 Aug 2020
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Kirill Mazur
Victor Lempitsky
3DPC
53
39
0
22 Jul 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation
Discrete Point Flow Networks for Efficient Point Cloud Generation
Roman Klokov
Edmond Boyer
Jakob Verbeek
3DPC
31
107
0
20 Jul 2020
Learning Part Boundaries from 3D Point Clouds
Learning Part Boundaries from 3D Point Clouds
Marios Loizou
Melinos Averkiou
E. Kalogerakis
3DPC
25
33
0
15 Jul 2020
Point Set Voting for Partial Point Cloud Analysis
Point Set Voting for Partial Point Cloud Analysis
Junming Zhang
Weijia Chen
Yuping Wang
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
30
32
0
09 Jul 2020
Local Grid Rendering Networks for 3D Object Detection in Point Clouds
Local Grid Rendering Networks for 3D Object Detection in Point Clouds
Jianan Li
Jiashi Feng
3DPC
11
1
0
04 Jul 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu
Han Hu
Yue Cao
Zheng Zhang
Xin Tong
3DPC
29
182
0
02 Jul 2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Zaiwei Zhang
Bo Sun
Haitao Yang
Qi-Xing Huang
3DPC
25
196
0
10 Jun 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li
Lingfei Ma
Zilong Zhong
Fei Liu
Dongpu Cao
Jonathan Li
M. Chapman
3DPC
44
397
0
20 May 2020
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
Dahlia Urbach
Yizhak Ben-Shabat
M. Lindenbaum
3DPC
22
36
0
24 Apr 2020
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
37
388
0
10 Apr 2020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud
  Segmentation
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu
Bichen Wu
Zining Wang
Wei Zhan
Peter Vajda
Kurt Keutzer
Masayoshi Tomizuka
3DPC
33
354
0
03 Apr 2020
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial
  Keypoints
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints
Weikun Wu
Yan Zhang
David Wang
Yunqi Lei
3DPC
26
50
0
31 Mar 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
31
45
0
30 Mar 2020
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