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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
Objaverse-XL: A Universe of 10M+ 3D Objects
Objaverse-XL: A Universe of 10M+ 3D ObjectsNeural Information Processing Systems (NeurIPS), 2023
Matt Deitke
Ruoshi Liu
Matthew Wallingford
Huong Ngo
Oscar Michel
...
Carl Vondrick
Georgia Gkioxari
Kiana Ehsani
Ludwig Schmidt
Ali Farhadi
252
628
0
11 Jul 2023
Self-supervised adversarial masking for 3D point cloud representation
  learning
Self-supervised adversarial masking for 3D point cloud representation learningAsian Conference on Intelligent Information and Database Systems (ACIIDS), 2023
Michal Szachniewicz
Wojciech Kozlowski
Michal Stypulkowski
Maciej Ziȩba
3DPC
150
2
0
11 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A SurveyIEEE Access (IEEE Access), 2023
Hanieh Naderi
Ivan V. Bajić
3DPC
329
10
0
01 Jul 2023
Towards Open Vocabulary Learning: A Survey
Towards Open Vocabulary Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jianzong Wu
Xiangtai Li
Shilin Xu
Haobo Yuan
Henghui Ding
...
Jiangning Zhang
Yu Tong
Xudong Jiang
Guohao Li
Dacheng Tao
ObjDVLM
390
213
0
28 Jun 2023
Feature Adversarial Distillation for Point Cloud Classification
Feature Adversarial Distillation for Point Cloud ClassificationInternational Conference on Information Photonics (ICIP), 2023
Yuxing Lee
Wei-Chieh Wu
3DPC
102
3
0
25 Jun 2023
ExpPoint-MAE: Better interpretability and performance for
  self-supervised point cloud transformers
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersIEEE Access (IEEE Access), 2023
Ioannis Romanelis
Vlassis Fotis
Konstantinos Moustakas
Adrian Munteanu
ViT3DPC
309
5
0
19 Jun 2023
UniG3D: A Unified 3D Object Generation Dataset
UniG3D: A Unified 3D Object Generation Dataset
Qinghong Sun
Yangguang Li
Zexia Liu
Xiaoshui Huang
Fenggang Liu
Xihui Liu
Wanli Ouyang
Jing Shao
172
6
0
19 Jun 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation
A Universal Semantic-Geometric Representation for Robotic ManipulationConference on Robot Learning (CoRL), 2023
Tong Zhang
Yingdong Hu
Hanchen Cui
Hang Zhao
Yang Gao
208
26
0
18 Jun 2023
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling
  for Point Cloud Classification
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
Abihith Kothapalli
Ashkan Shahbazi
Hengrong Du
Robert Sheng
Soheil Kolouri
3DPC
180
4
0
08 Jun 2023
Multi-View Representation is What You Need for Point-Cloud Pre-Training
Multi-View Representation is What You Need for Point-Cloud Pre-TrainingInternational Conference on Learning Representations (ICLR), 2023
Siming Yan
Chen Song
Youkang Kong
Qi-Xing Huang
3DPC
438
4
0
05 Jun 2023
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Haibo Qiu
Baosheng Yu
Dacheng Tao
3DPCViT
241
8
0
02 Jun 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point CloudsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
383
35
0
31 May 2023
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D
  Classification
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Sitian Shen
Zilin Zhu
Linqian Fan
Harry Zhang
Xinxiao Wu
DiffM
310
32
0
25 May 2023
PointGPT: Auto-regressively Generative Pre-training from Point Clouds
PointGPT: Auto-regressively Generative Pre-training from Point CloudsNeural Information Processing Systems (NeurIPS), 2023
Guang-Sheng Chen
Meiling Wang
Yi Yang
Kai Yu
Li-xin Yuan
Yufeng Yue
3DPC
232
145
0
19 May 2023
Clifford Group Equivariant Neural Networks
Clifford Group Equivariant Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
David Ruhe
Johannes Brandstetter
Patrick Forré
440
60
0
18 May 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World
  Understanding
OpenShape: Scaling Up 3D Shape Representation Towards Open-World UnderstandingNeural Information Processing Systems (NeurIPS), 2023
Minghua Liu
Ruoxi Shi
Kaiming Kuang
Yinhao Zhu
Xuanlin Li
Shizhong Han
H. Cai
Fatih Porikli
Hao Su
3DPC
325
172
0
18 May 2023
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
ULIP-2: Towards Scalable Multimodal Pre-training for 3D UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023
Le Xue
Ning Yu
Shu Zhen Zhang
Artemis Panagopoulou
Junnan Li
...
Jiajun Wu
Caiming Xiong
Ran Xu
Juan Carlos Niebles
Silvio Savarese
300
189
0
14 May 2023
Self-Supervised Learning for Point Clouds Data: A Survey
Self-Supervised Learning for Point Clouds Data: A SurveyExpert systems with applications (ESWA), 2023
Changyu Zeng
Wei Wang
A. Nguyen
Yutao Yue
3DPC
175
0
0
09 May 2023
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene
  Understanding
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023
Li Jiang
Zetong Yang
Shaoshuai Shi
Vladislav Golyanik
Dengxin Dai
Bernt Schiele
3DPC
218
13
0
08 May 2023
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Ben Fei
Weidong Yang
Liwen Liu
Tian-jian Luo
Rui Zhang
Shouqing Yang
Ying He
3DPC
212
25
0
08 May 2023
Incremental 3D Semantic Scene Graph Prediction from RGB Sequences
Incremental 3D Semantic Scene Graph Prediction from RGB SequencesComputer Vision and Pattern Recognition (CVPR), 2023
Shun-cheng Wu
Keisuke Tateno
Nassir Navab
F. Tombari
3DPC3DV
246
29
0
04 May 2023
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building
  Instance Segmentation
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance SegmentationInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2023
Guoqing Yang
Fuyou Xue
Tao Gui
Ke Xie
Chi-Wing Fu
Hui Huang
3DV
174
37
0
04 May 2023
Analogy-Forming Transformers for Few-Shot 3D Parsing
Analogy-Forming Transformers for Few-Shot 3D ParsingInternational Conference on Learning Representations (ICLR), 2023
N. Gkanatsios
M. Singh
Zhaoyuan Fang
Shubham Tulsiani
Katerina Fragkiadaki
3DPC3DV
301
2
0
27 Apr 2023
Exploiting Inductive Bias in Transformer for Point Cloud Classification
  and Segmentation
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Zihao Li
Pan Gao
Hui Yuan
Ran Wei
M. Paul
3DPCViT
129
8
0
27 Apr 2023
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent
  with Learned Distance Functions
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance FunctionsComputer Vision and Pattern Recognition (CVPR), 2023
Yun He
Danhang Tang
Yinda Zhang
Xiangyang Xue
Yanwei Fu
3DPC
185
81
0
24 Apr 2023
Self-supervised Learning by View Synthesis
Self-supervised Learning by View Synthesis
Shaoteng Liu
Xiangyu Zhang
T. Hu
Jiaya Jia
3DVViT
161
1
0
22 Apr 2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost
  3D Point Cloud Data-scarce Learning?
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Hao Peng
Baopu Li
Bo Zhang
Xin Chen
Tao Chen
Erik Cambria
3DPC
203
1
0
20 Apr 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
Shutao Xia
VLM
262
72
0
14 Apr 2023
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud
  Pretraining
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud PretrainingInternational Conference on Learning Representations (ICLR), 2023
Siming Yan
Yu-Qi Yang
Yu-Xiao Guo
Hao Pan
Peng-shuai Wang
Xin Tong
Yang Liu
Qi-Xing Huang
3DPC
231
20
0
14 Apr 2023
Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification
Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification
Xian Wei
Muyu Wang
S. J. Lin
Zhengyu Li
Jian Yang
Arafat Al-Jawari
Xuan Tang
3DPCViT
122
2
0
12 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification
A Closer Look at Few-Shot 3D Point Cloud ClassificationInternational Journal of Computer Vision (IJCV), 2022
Chuangguan Ye
Erik Cambria
Bo Zhang
Tao Chen
3DPC
221
22
0
31 Mar 2023
Local region-learning modules for point cloud classification
Local region-learning modules for point cloud classificationMachine Vision and Applications (MVA), 2023
Kaya Turgut
H. Dutagaci
3DPC
202
3
0
30 Mar 2023
Point2Vec for Self-Supervised Representation Learning on Point Clouds
Point2Vec for Self-Supervised Representation Learning on Point Clouds
Karim Abou Zeid
Jonas Schult
Alexander Hermans
Bastian Leibe
3DPC
157
44
0
29 Mar 2023
Self-positioning Point-based Transformer for Point Cloud Understanding
Self-positioning Point-based Transformer for Point Cloud UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023
Jinyoung Park
S. Lee
S. Kim
Yunyang Xiong
Hyunwoo J. Kim
ViT3DPC
185
95
0
29 Mar 2023
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised
  Pointcloud Understanding
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud UnderstandingIEEE International Conference on Robotics and Automation (ICRA), 2023
Hongyu Sun
Yongcai Wang
Xudong Cai
Xuewei Bai
Deying Li
ViT3DPC
259
8
0
25 Mar 2023
PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point
  Clouds
PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point CloudsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Yun-Hai Liu
Xu Yan
Zhilei Chen
Zhiqi Li
Zeyong Wei
Mingqiang Wei
3DPC
160
6
0
23 Mar 2023
CP$^3$: Channel Pruning Plug-in for Point-based Networks
CP3^33: Channel Pruning Plug-in for Point-based NetworksComputer Vision and Pattern Recognition (CVPR), 2023
Yaomin Huang
Ning Liu
Zhengping Che
Zhiyuan Xu
Yaxin Peng
Chaomin Shen
Guixu Zhang
Xinmei Liu
Feifei Feng
Jian Tang
3DPC
239
20
0
23 Mar 2023
CLIP$^2$: Contrastive Language-Image-Point Pretraining from Real-World
  Point Cloud Data
CLIP2^22: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud DataComputer Vision and Pattern Recognition (CVPR), 2023
Yi Zeng
Chenhan Jiang
Jiageng Mao
Jianhua Han
Chao Ye
Qingqiu Huang
Dit-Yan Yeung
Zhen Yang
Xiaodan Liang
Hang Xu
3DPCVLMCLIP
211
94
0
22 Mar 2023
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D
  Recognition
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition
Deepti Hegde
Jeya Maria Jose Valanarasu
Vishal M. Patel
CLIP
379
97
0
20 Mar 2023
A Tiny Machine Learning Model for Point Cloud Object Classification
A Tiny Machine Learning Model for Point Cloud Object ClassificationAPSIPA Transactions on Signal and Information Processing (TASIP), 2023
Hao Fei
Jintang Xue
Pranav Kadam
Hardik Prajapati
Shan Liu
C.-C. Jay Kuo
3DPC
211
1
0
20 Mar 2023
GAM : Gradient Attention Module of Optimization for Point Clouds
  Analysis
GAM : Gradient Attention Module of Optimization for Point Clouds AnalysisAAAI Conference on Artificial Intelligence (AAAI), 2023
Haotian Hu
Fanyi Wang
Jingwen Su
Hongtao Zhou
Yaonong Wang
Laifeng Hu
Yanhao Zhang
Zhiwang Zhang
3DPC
184
19
0
19 Mar 2023
Parameter is Not All You Need: Starting from Non-Parametric Networks for
  3D Point Cloud Analysis
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Renrui Zhang
Liuhui Wang
Ziyu Guo
Yali Wang
Shiyang Feng
Jiaming Song
Jianbo Shi
3DPC
204
79
0
14 Mar 2023
PointPatchMix: Point Cloud Mixing with Patch Scoring
PointPatchMix: Point Cloud Mixing with Patch ScoringAAAI Conference on Artificial Intelligence (AAAI), 2023
Yi Wang
Jiaze Wang
Jinpeng Li
Zixu Zhao
Guangyong Chen
Anfeng Liu
Pheng-Ann Heng
3DPC
143
9
0
12 Mar 2023
MVImgNet: A Large-scale Dataset of Multi-view Images
MVImgNet: A Large-scale Dataset of Multi-view ImagesComputer Vision and Pattern Recognition (CVPR), 2023
Xianggang Yu
Mutian Xu
Yidan Zhang
Haolin Liu
Chongjie Ye
...
Zhangyang Xiong
Tianyou Liang
Guanying Chen
Shuguang Cui
Xiaoguang Han
3DV
244
223
0
10 Mar 2023
Point Cloud Classification Using Content-based Transformer via
  Clustering in Feature Space
Point Cloud Classification Using Content-based Transformer via Clustering in Feature SpaceIEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023
Yahui Liu
Bin Wang
Yisheng Lv
Lingxi Li
Feiyue Wang
ViT3DPC
228
74
0
08 Mar 2023
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Full Point Encoding for Local Feature Aggregation in 3D Point CloudsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yong-xing He
Hongshan Yu
Zhengeng Yang
Xiaoguang Liu
Wei Sun
Lin Wang
ViT3DPC
242
7
0
08 Mar 2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation
  via Centrifugal Reference Frame
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference FrameAAAI Conference on Artificial Intelligence (AAAI), 2023
Yujing Lou
Zelin Ye
Yang You
Nianjuan Jiang
Jiangbo Lu
Weiming Wang
Lizhuang Ma
Cewu Lu
3DPC
144
10
0
06 Mar 2023
PointCert: Point Cloud Classification with Deterministic Certified
  Robustness Guarantees
PointCert: Point Cloud Classification with Deterministic Certified Robustness GuaranteesComputer Vision and Pattern Recognition (CVPR), 2023
Jinghuai Zhang
Jinyuan Jia
Hongbin Liu
Neil Zhenqiang Gong
3DPC
190
12
0
03 Mar 2023
Image as Set of Points
Image as Set of PointsInternational Conference on Learning Representations (ICLR), 2023
Xu Ma
Yuqian Zhou
Huan Wang
Can Qin
Bin Sun
Chang Liu
Yun Fu
VLM
159
63
0
02 Mar 2023
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Nearest Neighbors Meet Deep Neural Networks for Point Cloud AnalysisIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Renrui Zhang
Liuhui Wang
Ziyu Guo
Jianbo Shi
3DPC
253
11
0
01 Mar 2023
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