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Relation-Shape Convolutional Neural Network for Point Cloud Analysis

Relation-Shape Convolutional Neural Network for Point Cloud Analysis

16 April 2019
Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
    3DPC
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Papers citing "Relation-Shape Convolutional Neural Network for Point Cloud Analysis"

50 / 380 papers shown
Title
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and
  Randomized Layouts for 3D Object Detection
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection
Yongming Rao
Benlin Liu
Yi Wei
Jiwen Lu
Cho-Jui Hsieh
Jie Zhou
3DPC
33
50
0
17 Aug 2021
PnP-3D: A Plug-and-Play for 3D Point Clouds
PnP-3D: A Plug-and-Play for 3D Point Clouds
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
28
27
0
16 Aug 2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point
  Clouds
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
Bjoern Michele
Alexandre Boulch
Gilles Puy
Maxime Bucher
Renaud Marlet
3DPC
DiffM
VLM
41
57
0
13 Aug 2021
TF-Blender: Temporal Feature Blender for Video Object Detection
TF-Blender: Temporal Feature Blender for Video Object Detection
Yiming Cui
Liqi Yan
Zhiwen Cao
Dongfang Liu
ViT
53
100
0
12 Aug 2021
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point
  Clouds
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
Wei Zhou
Xin Cao
Xiaodan Zhang
Xingxing Hao
Dekui Wang
Ying He
3DPC
37
13
0
28 Jul 2021
MKConv: Multidimensional Feature Representation for Point Cloud Analysis
MKConv: Multidimensional Feature Representation for Point Cloud Analysis
Sungmin Woo
Dogyoon Lee
Sangwon Hwang
Woojin Kim
Sangyoun Lee
3DPC
23
24
0
27 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-jin Liu
Ying He
3DPC
37
35
0
13 Jul 2021
Staying in Shape: Learning Invariant Shape Representations using
  Contrastive Learning
Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning
Jeffrey Gu
Serena Yeung
24
5
0
08 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
Self-Contrastive Learning with Hard Negative Sampling for
  Self-supervised Point Cloud Learning
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bianli Du
Xiang Gao
Wei Hu
Xin Li
3DPC
SSL
18
81
0
05 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
Robust Pooling through the Data Mode
Robust Pooling through the Data Mode
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC
3DV
OOD
24
3
0
21 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
Partial Graph Reasoning for Neural Network Regularization
Partial Graph Reasoning for Neural Network Regularization
Tiange Xiang
Chaoyi Zhang
Yang Song
Siqi Liu
Hongliang Yuan
Weidong (Tom) Cai
OOD
14
2
0
03 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
28
2
0
01 Jun 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
TransLoc3D : Point Cloud based Large-scale Place Recognition using
  Adaptive Receptive Fields
TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
Tianhan Xu
Yuanchen Guo
Zhiqiang Li
Ge Yu
Yu-Kun Lai
Song-Hai Zhang
3DPC
29
52
0
25 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Yecheng Lyu
Xinming Huang
Ziming Zhang
GNN
25
4
0
23 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
41
56
0
17 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
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
Residual Enhanced Multi-Hypergraph Neural Network
Residual Enhanced Multi-Hypergraph Neural Network
Jing Huang
Xiaolin Huang
Jie Yang
9
8
0
02 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
27
1
0
30 Apr 2021
Point Cloud Learning with Transformer
Point Cloud Learning with Transformer
Xian-Feng Han
Yuming Kuang
ViT
45
33
0
28 Apr 2021
3D Adversarial Attacks Beyond Point Cloud
3D Adversarial Attacks Beyond Point Cloud
Jinlai Zhang
Lyujie Chen
Binbin Liu
Bojun Ouyang
Qizhi Xie
Jihong Zhu
Weiming Li
Yanmei Meng
3DPC
27
38
0
25 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
29
10
0
23 Apr 2021
ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point
  Completion
ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion
Yaqi Xia
Yan Xia
Wei Li
Rui Song
Kai Cao
Uwe Stilla
3DPC
19
86
0
19 Apr 2021
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using
  Barnes-Hut $2^D$-Tree Representation
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2D2^D2D-Tree Representation
Sk Aziz Ali
Kerem Kahraman
Gerd Reis
D. Stricker
3DPC
22
13
0
12 Apr 2021
PointShuffleNet: Learning Non-Euclidean Features with Homotopy
  Equivalence and Mutual Information
PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information
Linchao He
Mengting Luo
Dejun Zhang
Xiao Yang
Hu Chen
Yi Zhang
3DPC
15
0
0
31 Mar 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud
PointBA: Towards Backdoor Attacks in 3D Point Cloud
Xinke Li
Zhirui Chen
Yue Zhao
Zekun Tong
Yabang Zhao
A. Lim
Qiufeng Wang
3DPC
AAML
60
51
0
30 Mar 2021
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
Zhichao Li
Feng Wang
Naiyan Wang
3DPC
35
222
0
29 Mar 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
27
15
0
28 Mar 2021
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on
  Point Clouds
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Mutian Xu
Runyu Ding
Hengshuang Zhao
Xiaojuan Qi
3DPC
27
394
0
26 Mar 2021
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
Chang Liu
Xiaojuan Qi
E. Lam
Ngai Wong
25
0
0
22 Mar 2021
Skeleton Merger: an Unsupervised Aligned Keypoint Detector
Skeleton Merger: an Unsupervised Aligned Keypoint Detector
Ruoxi Shi
Zhengrong Xue
Yang You
Cewu Lu
3DPC
13
30
0
19 Mar 2021
RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
Lue Fan
Xuan Xiong
Feng Wang
Nai-long Wang
Zhaoxiang Zhang
3DPC
39
219
0
18 Mar 2021
MORE: Simultaneous Multi-View 3D Object Recognition and Pose Estimation
MORE: Simultaneous Multi-View 3D Object Recognition and Pose Estimation
Tommaso Parisotto
Subhaditya Mukherjee
Hamidreza Kasaei
11
14
0
17 Mar 2021
Semantic Segmentation for Real Point Cloud Scenes via Bilateral
  Augmentation and Adaptive Fusion
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
31
204
0
12 Mar 2021
A Convolutional Architecture for 3D Model Embedding
A Convolutional Architecture for 3D Model Embedding
Arniel Labrada
B. Bustos
I. Sipiran
3DPC
3DV
14
4
0
05 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
Depth from Camera Motion and Object Detection
Depth from Camera Motion and Object Detection
Brent A. Griffin
Jason J. Corso
23
24
0
02 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
34
6
0
01 Mar 2021
Seeing by haptic glance: reinforcement learning-based 3D object
  Recognition
Seeing by haptic glance: reinforcement learning-based 3D object Recognition
Kévin Riou
Suiyi Ling
G. Gallot
P. Le Callet
29
4
0
15 Feb 2021
Generative Models as Distributions of Functions
Generative Models as Distributions of Functions
Emilien Dupont
Yee Whye Teh
Arnaud Doucet
22
103
0
09 Feb 2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection
  for Sparse Semantic Segmentation Network
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng
Ryan Razani
E. Taghavi
Enxu Li
Bingbing Liu
3DPC
158
241
0
08 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Dogyoon Lee
Jaeha Lee
Junhyeop Lee
Hyeongmin Lee
Minhyeok Lee
Sungmin Woo
Sangyoun Lee
3DPC
150
74
0
03 Feb 2021
PointCutMix: Regularization Strategy for Point Cloud Classification
PointCutMix: Regularization Strategy for Point Cloud Classification
Jinlai Zhang
Lvjie Chen
Bojun Ouyang
Binbin Liu
Jihong Zhu
Yujing Chen
Yanmei Meng
Danfeng Wu
3DPC
31
110
0
05 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
36
24
0
02 Jan 2021
SALA: Soft Assignment Local Aggregation for Parameter Efficient 3D
  Semantic Segmentation
SALA: Soft Assignment Local Aggregation for Parameter Efficient 3D Semantic Segmentation
Hani Itani
Silvio Giancola
Ali K. Thabet
Guohao Li
3DPC
27
1
0
29 Dec 2020
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