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Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
v1v2 (latest)

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

IEEE International Conference on Computer Vision (ICCV), 2019
13 August 2019
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
    3DV3DPC
ArXiv (abs)PDFHTML

Papers citing "Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data"

50 / 478 papers shown
Title
SRPCN: Structure Retrieval based Point Completion Network
SRPCN: Structure Retrieval based Point Completion Network
Kaiyi Zhang
Ximing Yang
Yuan Wu
Cheng Jin
3DPC
170
3
0
06 Feb 2022
Benchmarking Robustness of 3D Point Cloud Recognition Against Common
  Corruptions
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
Jiachen Sun
Qingzhao Zhang
B. Kailkhura
Zhiding Yu
Chaowei Xiao
Z. Morley Mao
3DPC
174
109
0
28 Jan 2022
Contrastive Embedding Distribution Refinement and Entropy-Aware
  Attention for 3D Point Cloud Classification
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Feng Yang
Yichao Cao
Qifan Xue
Shuai Jin
Xuanpeng Li
Weigong Zhang
3DPC
211
4
0
27 Jan 2022
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors
Dongrui Liu
Chuanchaun Chen
Changqing Xu
Robert C. Qiu
Lei Chu
3DPC
179
17
0
25 Jan 2022
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised
  Point Cloud Learning
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud LearningIEEE transactions on multimedia (IEEE TMM), 2022
Mingye Xu
Yali Wang
Zhipeng Zhou
Hongbin Xu
Yu Qiao
3DPC
156
17
0
20 Jan 2022
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point
  Clouds
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point CloudsInternational Journal of Computer Vision (IJCV), 2022
Qingyong Hu
Bo Yang
Sheikh Khalid
W. Xiao
Niki Trigoni
Andrew Markham
3DPC
138
109
0
12 Jan 2022
Self-Supervised Feature Learning from Partial Point Clouds via Pose
  Disentanglement
Self-Supervised Feature Learning from Partial Point Clouds via Pose DisentanglementIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Meng-Shiun Tsai
Pei-Ze Chiang
Yi-Hsuan Tsai
Wei-Chen Chiu
SSL3DPC
144
5
0
09 Jan 2022
Implicit Autoencoder for Point-Cloud Self-Supervised Representation
  Learning
Implicit Autoencoder for Point-Cloud Self-Supervised Representation LearningIEEE International Conference on Computer Vision (ICCV), 2022
Siming Yan
Zhenpei Yang
Haoxiang Li
Chen Song
Li Guan
Hao Kang
G. Hua
Qi-Xing Huang
3DPC
337
77
0
03 Jan 2022
Full Transformer Framework for Robust Point Cloud Registration with Deep
  Information Interaction
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
Guang-Sheng Chen
Meiling Wang
Yufeng Yue
Qingxiang Zhang
Li-xin Yuan
ViT
211
31
0
17 Dec 2021
On Automatic Data Augmentation for 3D Point Cloud Classification
On Automatic Data Augmentation for 3D Point Cloud Classification
Wanyue Zhang
Xun Xu
Fayao Liu
Le Zhang
Chuan-Sheng Foo
3DPC
140
6
0
11 Dec 2021
On Adversarial Robustness of Point Cloud Semantic Segmentation
On Adversarial Robustness of Point Cloud Semantic Segmentation
Jiacen Xu
Zhe Zhou
Boyuan Feng
Yufei Ding
Zhou Li
3DPCAAML
401
5
0
11 Dec 2021
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
Shuyang Cheng
Xiwu Chen
Xinwei He
Yanfeng Guo
X. Bai
3DPC
198
160
0
09 Dec 2021
Variance-Aware Weight Initialization for Point Convolutional Neural
  Networks
Variance-Aware Weight Initialization for Point Convolutional Neural Networks
Pedro Hermosilla
Michael Schelling
Tobias Ritschel
Timo Ropinski
3DPC
154
0
0
07 Dec 2021
Adaptive Channel Encoding for Point Cloud Analysis
Adaptive Channel Encoding for Point Cloud Analysis
Guoquan Xu
Hezhi Cao
Yifan Zhang
Jianwei Wan
Ke Xu
Yanxin Ma
3DPC
78
0
0
05 Dec 2021
Adaptive Channel Encoding Transformer for Point Cloud Analysis
Adaptive Channel Encoding Transformer for Point Cloud AnalysisInternational Conference on Artificial Neural Networks (ICANN), 2021
Guoquan Xu
Hezhi Cao
Cong Zhang
Yanxin Ma
Jianwei Wan
Ke Xu
ViT
125
4
0
05 Dec 2021
PointCLIP: Point Cloud Understanding by CLIP
PointCLIP: Point Cloud Understanding by CLIPComputer Vision and Pattern Recognition (CVPR), 2021
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Tengjiao Wang
Yu Qiao
Shiyang Feng
Jiaming Song
VLM3DPC
415
564
0
04 Dec 2021
CloudWalker: Random walks for 3D point cloud shape analysis
CloudWalker: Random walks for 3D point cloud shape analysis
Adi Mesika
Yizhak Ben-Shabat
A. Tal
3DPC
239
9
0
02 Dec 2021
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
Abdullah Hamdi
Silvio Giancola
Guohao Li
3DPC
200
29
0
30 Nov 2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
424
899
0
29 Nov 2021
diffConv: Analyzing Irregular Point Clouds with an Irregular View
diffConv: Analyzing Irregular Point Clouds with an Irregular View
Manxi Lin
Aasa Feragen
GNN3DPC
218
19
0
29 Nov 2021
PU-Transformer: Point Cloud Upsampling Transformer
PU-Transformer: Point Cloud Upsampling Transformer
Shi Qiu
Saeed Anwar
Nick Barnes
3DPCViT
168
72
0
24 Nov 2021
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point
  Clouds
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
R. Wiersma
Ahmad Nasikun
E. Eisemann
Klaus Hildebrandt
3DPC
405
20
0
16 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi
Fayao Liu
Xu Xun
Jie Lin
Chuan-Sheng Foo
179
77
0
09 Nov 2021
RefRec: Pseudo-labels Refinement via Shape Reconstruction for
  Unsupervised 3D Domain Adaptation
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationInternational Conference on 3D Vision (3DV), 2021
Adriano Cardace
Riccardo Spezialetti
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
120
15
0
21 Oct 2021
Point Cloud Augmentation with Weighted Local Transformations
Point Cloud Augmentation with Weighted Local TransformationsIEEE International Conference on Computer Vision (ICCV), 2021
S. Kim
S. Lee
Dasol Hwang
Jaewon Lee
Seong Jae Hwang
Hyunwoo J. Kim
3DPC
132
69
0
11 Oct 2021
BuildingNet: Learning to Label 3D Buildings
BuildingNet: Learning to Label 3D BuildingsIEEE International Conference on Computer Vision (ICCV), 2021
Pratheba Selvaraju
Mohamed Nabail
Marios Loizou
Maria I. Maslioukova
Melinos Averkiou
Andreas C. Andreou
S. Chaudhuri
E. Kalogerakis
3DV3DPCAI4CE
170
47
0
11 Oct 2021
Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory
  Recurrent Self-Organization Networks
Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization NetworksNeural Networks (NN), 2021
K. Santhakumar
Hamidreza Kasaei
CLL
190
15
0
23 Sep 2021
PC$^2$-PU: Patch Correlation and Point Correlation for Effective Point
  Cloud Upsampling
PC2^22-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling
Chen Long
Wenxiao Zhang
Ruihui Li
Hao Wang
Zhen Dong
Bisheng Yang
3DPC
182
31
0
20 Sep 2021
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape
  Recognition
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition
Xinwei He
Shuyang Cheng
Dingkang Liang
S. Bai
Xi Wang
Yingying Zhu
3DPC
220
8
0
03 Sep 2021
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis
Guoquan Xu
Hezhi Cao
Yifan Zhang
Jianwei Wan
Ke Xu
Yanxin Ma
3DPC
158
1
0
20 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
146
41
0
16 Aug 2021
Learning Canonical View Representation for 3D Shape Recognition with
  Arbitrary Views
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
Xin Wei
Yifei Gong
Fudong Wang
Xing Sun
Jian Sun
135
18
0
16 Aug 2021
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis
Point Discriminative Learning for Data-efficient 3D Point Cloud AnalysisInternational Conference on 3D Vision (3DV), 2021
Fayao Liu
Guosheng Lin
Chuan-Sheng Foo
Chaitanya K. Joshi
Jie Lin
3DPC
97
9
0
04 Aug 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
Xianqiang Lyu
Yaqi Duan
Yong Liu
Ying He
3DPC
367
46
0
13 Jul 2021
Task-Aware Sampling Layer for Point-Wise Analysis
Task-Aware Sampling Layer for Point-Wise AnalysisIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Yiqun Lin
Lichang Chen
Haibin Huang
Chongyang Ma
Xiaoguang Han
Shuguang Cui
3DPC
258
12
0
09 Jul 2021
Learning without Forgetting for 3D Point Cloud Objects
Learning without Forgetting for 3D Point Cloud ObjectsInternational Work-Conference on Artificial and Natural Neural Networks (IWANN), 2021
T. Chowdhury
Mahira Jalisha
A. Cheraghian
Shafin Rahman
3DPC
143
11
0
27 Jun 2021
To the Point: Efficient 3D Object Detection in the Range Image with
  Graph Convolution Kernels
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
Yuning Chai
Pei Sun
Jiquan Ngiam
Weiyue Wang
Benjamin Caine
Vijay Vasudevan
Xiao Zhang
Drago Anguelov
3DPC
300
71
0
25 Jun 2021
Robust Pooling through the Data Mode
Robust Pooling through the Data ModeIntelligent Systems with Applications (ISA), 2021
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC3DVOOD
196
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 BaselineInternational Conference on Machine Learning (ICML), 2021
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Gaowen Liu
3DPC
228
277
0
09 Jun 2021
Point Cloud Upsampling via Disentangled Refinement
Point Cloud Upsampling via Disentangled RefinementComputer Vision and Pattern Recognition (CVPR), 2021
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
189
158
0
09 Jun 2021
Zero-Shot Learning on 3D Point Cloud Objects and Beyond
Zero-Shot Learning on 3D Point Cloud Objects and BeyondInternational Journal of Computer Vision (IJCV), 2021
A. Cheraghian
Shafin Rahman
T. Chowdhury
Dylan Campbell
L. Petersson
3DPC
127
64
0
11 Apr 2021
ReAgent: Point Cloud Registration using Imitation and Reinforcement
  Learning
ReAgent: Point Cloud Registration using Imitation and Reinforcement LearningComputer Vision and Pattern Recognition (CVPR), 2021
Dominik Bauer
T. Patten
Markus Vincze
3DPC
126
45
0
28 Mar 2021
Sim2Real 3D Object Classification using Spherical Kernel Point
  Convolution and a Deep Center Voting Scheme
Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme
Jean-Baptiste Weibel
T. Patten
Markus Vincze
3DPC
66
4
0
10 Mar 2021
A Survey of Embodied AI: From Simulators to Research Tasks
A Survey of Embodied AI: From Simulators to Research TasksIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
Jiafei Duan
Samson Yu
Tangyao Li
Huaiyu Zhu
Cheston Tan
LM&Ro
561
409
0
08 Mar 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2021
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
430
1,276
0
19 Feb 2021
Seeing by haptic glance: reinforcement learning-based 3D object
  Recognition
Seeing by haptic glance: reinforcement learning-based 3D object RecognitionInternational Conference on Information Photonics (ICIP), 2021
Kévin Riou
Suiyi Ling
G. Gallot
P. Le Callet
118
4
0
15 Feb 2021
Occlusion Handling in Generic Object Detection: A Review
Occlusion Handling in Generic Object Detection: A ReviewInternational Symposium on Applied Machine Intelligence and Informatics (SAMI), 2021
Kaziwa Saleh
Sándor Szénási
Zoltán Vámossy
ObjD
164
66
0
21 Jan 2021
PointCutMix: Regularization Strategy for Point Cloud Classification
PointCutMix: Regularization Strategy for Point Cloud ClassificationNeurocomputing (Neurocomputing), 2021
Jinlai Zhang
Lvjie Chen
Bojun Ouyang
Binbin Liu
Jihong Zhu
Yujing Chen
Yanmei Meng
Danfeng Wu
3DPC
259
139
0
05 Jan 2021
Learning Geometry-Disentangled Representation for Complementary
  Understanding of 3D Object Point Cloud
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudAAAI Conference on Artificial Intelligence (AAAI), 2020
Mutian Xu
Junhao Zhang
Zhipeng Zhou
Mingye Xu
Xiaojuan Qi
Yu Qiao
3DPC
502
164
0
20 Dec 2020
Classification of Single-View Object Point Clouds
Classification of Single-View Object Point CloudsPattern Recognition (Pattern Recognit.), 2020
Zelin Xu
Ke Chen
Kangjun Liu
Changxing Ding
Yaowei Wang
Kui Jia
3DPC
304
9
0
18 Dec 2020
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