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Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds

29 March 2020
Yongming Rao
Jiwen Lu
Jie Zhou
    3DPC
ArXivPDFHTML

Papers citing "Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds"

50 / 73 papers shown
Title
Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D
  Images
Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D Images
Wenrui Li
Zhe Yang
Wei Han
Hengyu Man
Xingtao Wang
Xiaopeng Fan
3DPC
76
0
0
12 Dec 2024
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture
  Correspondence
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence
Vencia Herzog
Stefan Suwelack
3DPC
29
0
0
12 Oct 2024
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud
  Learning
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Dingkang Liang
Tianrui Feng
Xin Zhou
Yumeng Zhang
Zhikang Zou
Xiang Bai
26
5
0
10 Oct 2024
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point
  Cloud Representation Learning
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
Kunming Su
Qiuxia Wu
Panpan Cai
Xiaogang Zhu
Xuequan Lu
Zhiyong Wang
Kun Hu
3DPC
34
2
0
31 Aug 2024
Multi-modal Relation Distillation for Unified 3D Representation Learning
Multi-modal Relation Distillation for Unified 3D Representation Learning
Huiqun Wang
Yiping Bao
Panwang Pan
Zeming Li
Xiao Liu
Ruijie Yang
Di Huang
52
0
0
19 Jul 2024
GPSFormer: A Global Perception and Local Structure Fitting-based
  Transformer for Point Cloud Understanding
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding
Changshuo Wang
Meiqing Wu
S. Lam
Xin Ning
Shangshu Yu
Ruiping Wang
Weijun Li
T. Srikanthan
36
14
0
18 Jul 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point
  Cloud Self-Supervised Learning
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren
Guofeng Mei
D. Paudel
Weijie Wang
Yawei Li
Mengyuan Liu
Rita Cucchiara
Luc Van Gool
N. Sebe
3DPC
43
7
0
08 Jul 2024
PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud
  Analysis
PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis
Zicheng Wang
Zhen Chen
Yiming Wu
Zhen Zhao
Luping Zhou
Dong Xu
Mamba
45
13
0
24 May 2024
PointDifformer: Robust Point Cloud Registration With Neural Diffusion
  and Transformer
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer
Rui She
Qiyu Kang
Sijie Wang
Wee Peng Tay
Kai Zhao
Yang Song
Tianyu Geng
Yi Xu
Diego Navarro Navarro
Andreas Hartmannsgruber
3DPC
DiffM
38
14
0
22 Apr 2024
Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn
  Classification without Labels
Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without Labels
Amaya Dharmasiri
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
VLM
3DPC
34
1
0
15 Apr 2024
HVDistill: Transferring Knowledge from Images to Point Clouds via
  Unsupervised Hybrid-View Distillation
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation
Sha Zhang
Jiajun Deng
Lei Bai
Houqiang Li
Wanli Ouyang
Yanyong Zhang
3DPC
48
8
0
18 Mar 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point
  Cloud Learning
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
Jincen Jiang
Lizhi Zhao
Xuequan Lu
Wei Hu
Imran Razzak
Meili Wang
SSL
3DPC
15
8
0
05 Jan 2024
Learnable Chamfer Distance for Point Cloud Reconstruction
Learnable Chamfer Distance for Point Cloud Reconstruction
Tianxin Huang
Qingyao Liu
Xiangrui Zhao
Jun Chen
Yong-Jin Liu
3DV
3DPC
17
5
0
27 Dec 2023
Progressive Classifier and Feature Extractor Adaptation for Unsupervised
  Domain Adaptation on Point Clouds
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds
Zicheng Wang
Zhen Zhao
Yiming Wu
Luping Zhou
Dong Xu
3DPC
16
2
0
27 Nov 2023
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D
  Pre-training
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
Yipeng Gao
Zeyu Wang
Wei-Shi Zheng
Cihang Xie
Yuyin Zhou
3DPC
24
8
0
03 Nov 2023
General Point Model with Autoencoding and Autoregressive
General Point Model with Autoencoding and Autoregressive
Zhe Li
Zhangyang Gao
Cheng Tan
Stan Z. Li
Laurence T. Yang
AI4CE
3DPC
22
4
0
25 Oct 2023
Regress Before Construct: Regress Autoencoder for Point Cloud
  Self-supervised Learning
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning
Yang Liu
C. L. P. Chen
Can Wang
Xulin King
Mengyuan Liu
3DPC
27
7
0
25 Sep 2023
M$^3$CS: Multi-Target Masked Point Modeling with Learnable Codebook and
  Siamese Decoders
M3^33CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders
Qibo Qiu
Honghui Yang
Wenxiao Wang
Shun Zhang
Haiming Gao
Haochao Ying
Wei Hua
Xiaofei He
3DPC
30
0
0
23 Sep 2023
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D
  Understanding, Generation, and Instruction Following
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
Ziyu Guo
Renrui Zhang
Xiangyang Zhu
Yiwen Tang
Xianzheng Ma
...
Ke Chen
Peng Gao
Xianzhi Li
Hongsheng Li
Pheng-Ann Heng
MLLM
27
125
0
01 Sep 2023
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning
  on Point Cloud Videos
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
Zhiqiang Shen
Xiaoxiao Sheng
Hehe Fan
Longguang Wang
Y. Guo
Qiong Liu
Hao-Kai Wen
Xiaoping Zhou
3DPC
15
14
0
18 Aug 2023
Multi-View Representation is What You Need for Point-Cloud Pre-Training
Multi-View Representation is What You Need for Point-Cloud Pre-Training
Siming Yan
Chen Song
Youkang Kong
Qi-Xing Huang
3DPC
31
2
0
05 Jun 2023
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
Zihui Zhang
Bo Yang
Bing Wang
Bo Li
3DPC
20
40
0
25 May 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World
  Understanding
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu
Ruoxi Shi
Kaiming Kuang
Yinhao Zhu
Xuanlin Li
Shizhong Han
H. Cai
Fatih Porikli
Hao Su
3DPC
27
116
0
18 May 2023
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point
  Cloud Pre-Training
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
Xiaoyu Tian
Haoxi Ran
Yue Wang
Hang Zhao
3DPC
ViT
21
38
0
15 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 Understanding
Li Jiang
Zetong Yang
Shaoshuai Shi
Vladislav Golyanik
Dengxin Dai
Bernt Schiele
3DPC
14
13
0
08 May 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
20
27
0
29 Mar 2023
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and
  Feature Mapping
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping
Srikanth Malla
Yi-Ting Chen
3DPC
17
1
0
28 Feb 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud
  Pre-training
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzhi Li
Pheng-Ann Heng
3DPC
30
52
0
27 Feb 2023
PointVST: Self-Supervised Pre-training for 3D Point Clouds via
  View-Specific Point-to-Image Translation
PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation
Qijian Zhang
Junhui Hou
3DPC
22
9
0
29 Dec 2022
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT
3DPC
19
83
0
16 Dec 2022
Learning 3D Representations from 2D Pre-trained Models via
  Image-to-Point Masked Autoencoders
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang
Liuhui Wang
Yu Qiao
Peng Gao
Hongsheng Li
3DPC
33
124
0
13 Dec 2022
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Honggu Zhou
Xiaogang Peng
Jiawei Mao
Zizhao Wu
Ming Zeng
3DPC
6
3
0
22 Nov 2022
Learning Latent Part-Whole Hierarchies for Point Clouds
Learning Latent Part-Whole Hierarchies for Point Clouds
Xiang Gao
Wei Hu
Renjie Liao
3DPC
35
0
0
14 Nov 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud
  Learning
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Yabin Zhang
Jiehong Lin
Ruihuang Li
K. Jia
Lei Zhang
3DPC
17
6
0
13 Nov 2022
Joint Data and Feature Augmentation for Self-Supervised Representation
  Learning on Point Clouds
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds
Zhuheng Lu
Yuewei Dai
Weiqing Li
Zhiyong Su
3DPC
22
4
0
02 Nov 2022
Isometric 3D Adversarial Examples in the Physical World
Isometric 3D Adversarial Examples in the Physical World
Yibo Miao
Yinpeng Dong
Junyi Zhu
Xiao-Shan Gao
37
29
0
27 Oct 2022
HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning
  for Airborne laser scanning point clouds semantic segmentation
HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation
Yunsheng Zhang
Jianguo Yao
Ruixiang Zhang
Siyang Chen
Haif Li
15
0
0
19 Oct 2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud
  Understanding
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Guofeng Mei
Cristiano Saltori
Fabio Poiesi
Jian Andrew Zhang
Elisa Ricci
N. Sebe
Qiang Wu
3DPC
47
5
0
06 Oct 2022
Rethinking the compositionality of point clouds through regularization
  in the hyperbolic space
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
Antonio Montanaro
D. Valsesia
E. Magli
3DPC
33
31
0
21 Sep 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets
  Graph Signal Processing
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing
Daizong Liu
Wei Hu
Xin Li
AAML
3DPC
23
15
0
27 Jul 2022
Boosting Point-BERT by Multi-choice Tokens
Boosting Point-BERT by Multi-choice Tokens
Kexue Fu
Ming-Dong Yuan
Manning Wang
3DPC
21
6
0
27 Jul 2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Yabin Zhang
Jiehong Lin
Chenhang He
Y. Chen
K. Jia
Lei Zhang
3DPC
19
19
0
07 Jul 2022
Masked Autoencoders in 3D Point Cloud Representation Learning
Masked Autoencoders in 3D Point Cloud Representation Learning
Jincen Jiang
Xuequan Lu
Lizhi Zhao
Richard Dazeley
Meili Wang
3DPC
ViT
54
28
0
04 Jul 2022
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled
  Primitives
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives
Xinke Li
Henghui Ding
Zekun Tong
Yuwei Wu
Yeow Meng Chee
DD
18
4
0
25 May 2022
MetaSets: Meta-Learning on Point Sets for Generalizable Representations
MetaSets: Meta-Learning on Point Sets for Generalizable Representations
Chao Huang
Zhangjie Cao
Yunbo Wang
Jianmin Wang
Mingsheng Long
3DPC
11
30
0
15 Apr 2022
POS-BERT: Point Cloud One-Stage BERT Pre-Training
POS-BERT: Point Cloud One-Stage BERT Pre-Training
Kexue Fu
Peng Gao
Shaolei Liu
Renrui Zhang
Yu Qiao
Manning Wang
3DPC
22
18
0
03 Apr 2022
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point
  Clouds
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
Junsheng Zhou
Xin Wen
Baorui Ma
Yu-Shen Liu
Yue Gao
Yi Fang
Zhizhong Han
3DPC
28
17
0
26 Mar 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
3DPC
27
8
0
21 Mar 2022
Revisiting Deep Semi-supervised Learning: An Empirical Distribution
  Alignment Framework and Its Generalization Bound
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound
Feiyu Wang
Qin Wang
Wen Li
Dong Xu
Luc Van Gool
19
5
0
13 Mar 2022
Masked Autoencoders for Point Cloud Self-supervised Learning
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang
Wenxiao Wang
Francis E. H. Tay
W. Liu
Yonghong Tian
Liuliang Yuan
3DPC
ViT
31
451
0
13 Mar 2022
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