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L2G Auto-encoder: Understanding Point Clouds by Local-to-Global
  Reconstruction with Hierarchical Self-Attention

L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention

ACM Multimedia (ACM MM), 2019
2 August 2019
Xinhai Liu
Zhizhong Han
Xin Wen
Yu-Shen Liu
Matthias Zwicker
    3DPC
ArXiv (abs)PDFHTML

Papers citing "L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention"

38 / 38 papers shown
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
Bin Ren
Xiaoshui Huang
Mengyuan Liu
Hong Liu
Fabio Poiesi
Andrii Zadaianchuk
Guofeng Mei
3DPCISeg
221
0
0
12 Aug 2025
D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point
  Searching and Learnable Feature Fusion
D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature FusionComputer Aided Geometric Design (CAGD), 2023
Xinhai Liu
Zhizhong Han
S. Lee
Yannan Cao
Yu-Shen Liu
3DPC
231
6
0
10 May 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 TranslationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Qijian Zhang
Xianqiang Lyu
3DPC
445
18
0
29 Dec 2022
KSS-ICP: Point Cloud Registration based on Kendall Shape Space
KSS-ICP: Point Cloud Registration based on Kendall Shape SpaceIEEE Transactions on Image Processing (IEEE TIP), 2022
Chenlei Lv
Weisi Lin
Baoquan Zhao
3DPC
139
56
0
05 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 CloudsGraphical Models (GM), 2022
Zhuheng Lu
Yuewei Dai
Weiqing Li
Zhiyong Su
3DPC
241
5
0
02 Nov 2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud
  Understanding
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingBritish Machine Vision Conference (BMVC), 2022
Guofeng Mei
Cristiano Saltori
Fabio Poiesi
Jian Zhang
Elisa Ricci
Andrii Zadaianchuk
Qiang Wu
3DPC
261
10
0
06 Oct 2022
Learning a Structured Latent Space for Unsupervised Point Cloud
  Completion
Learning a Structured Latent Space for Unsupervised Point Cloud CompletionComputer Vision and Pattern Recognition (CVPR), 2022
Yingjie Cai
Kwan-Yee Lin
Chao Zhang
Qiang Wang
Xiaogang Wang
Jiaming Song
3DPCSSL
279
44
0
29 Mar 2022
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point
  Clouds
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point CloudsIEEE International Conference on Robotics and Automation (ICRA), 2022
Junsheng Zhou
Xin Wen
Baorui Ma
Yu-Shen Liu
Yue Gao
Yi Fang
Zhizhong Han
3DPC
289
24
0
26 Mar 2022
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step
  Point Moving Paths
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving PathsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xin Wen
Peng Xiang
Zhizhong Han
Yaru Cao
Pengfei Wan
Wen Zheng
Yu-Shen Liu
3DPC
405
168
0
19 Feb 2022
Snowflake Point Deconvolution for Point Cloud Completion and Generation
  with Skip-Transformer
Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-TransformerIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Peng Xiang
Xin Wen
Yu-Shen Liu
Yaru Cao
Pengfei Wan
Wen Zheng
Zhizhong Han
3DPC
421
97
0
18 Feb 2022
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting
Guofeng Mei
Litao Yu
Qiang Wu
Jian Zhang
Mohammed Bennamoun
SSL3DPC
368
11
0
05 Feb 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
217
18
0
20 Jan 2022
Attention-based Transformation from Latent Features to Point Clouds
Attention-based Transformation from Latent Features to Point Clouds
Kaiyi Zhang
Ximing Yang
Yuan Wu
Cheng Jin
3DPC
250
22
0
10 Dec 2021
Attention Mechanisms in Computer Vision: A Survey
Attention Mechanisms in Computer Vision: A SurveyComputational Visual Media (CVM), 2021
Meng-Hao Guo
Tianhan Xu
Jiangjiang Liu
Zheng-Ning Liu
Peng-Tao Jiang
Tai-Jiang Mu
Song-Hai Zhang
Ralph Robert Martin
Ming-Ming Cheng
Shimin Hu
358
2,238
0
15 Nov 2021
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
300
58
0
17 Aug 2021
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution
  with Skip-Transformer
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-TransformerIEEE International Conference on Computer Vision (ICCV), 2021
Peng Xiang
Xin Wen
Yu-Shen Liu
Yan-Pei Cao
Pengfei Wan
Wen Zheng
Zhizhong Han
ViT3DPC
329
310
0
10 Aug 2021
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning
  through Hierarchical Prediction among Unordered Views
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered ViewsACM Multimedia (ACM MM), 2021
Zhizhong Han
Xiyang Wang
Yu-Shen Liu
Matthias Zwicker
315
9
0
08 Aug 2021
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with
  Voxel-to-Point Decoder
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point DecoderACM Multimedia (ACM MM), 2021
Jiale Li
Hang Dai
Ling Shao
Yong Ding
3DPC
294
61
0
08 Aug 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
Yantao Du
Wei Hu
Xin Li
3DPCSSL
270
99
0
05 Jul 2021
Orienting Point Clouds with Dipole Propagation
Orienting Point Clouds with Dipole PropagationACM Transactions on Graphics (TOG), 2021
G. Metzer
Rana Hanocka
Denis Zorin
Raja Giryes
Daniele Panozzo
Daniel Cohen-Or
3DPC
281
72
0
04 May 2021
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object
  Detection with Transformers
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with TransformersIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Tianrui Guan
Jun Wang
Shiyi Lan
Rohan Chandra
Zuxuan Wu
Larry S. Davis
Tianyi Zhou
ViT3DPC
289
162
0
24 Apr 2021
Extending Multi-Sense Word Embedding to Phrases and Sentences for
  Unsupervised Semantic Applications
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic ApplicationsAAAI Conference on Artificial Intelligence (AAAI), 2021
Haw-Shiuan Chang
Amol Agrawal
Andrew McCallum
283
9
0
29 Mar 2021
Cycle4Completion: Unpaired Point Cloud Completion using Cycle
  Transformation with Missing Region Coding
Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region CodingComputer Vision and Pattern Recognition (CVPR), 2021
Xin Wen
Zhizhong Han
Yan-Pei Cao
Pengfei Wan
Wen Zheng
Yu-Shen Liu
3DPC
330
113
0
14 Mar 2021
Attention Models for Point Clouds in Deep Learning: A Survey
Attention Models for Point Clouds in Deep Learning: A Survey
Xu Wang
Yi Jin
Yigang Cen
Tao Wang
Yidong Li
3DPC
332
14
0
22 Feb 2021
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine
  Reconstruction with Self-Projection Optimization
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization
Xinhai Liu
Xinchen Liu
Yu-Shen Liu
Zhizhong Han
3DPC
306
87
0
08 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
ChartPointFlow for Topology-Aware 3D Point Cloud GenerationACM Multimedia (ACM MM), 2020
Takumi Kimura
Takashi Matsubara
K. Uehara
3DPC
292
10
0
04 Dec 2020
Neural-Pull: Learning Signed Distance Functions from Point Clouds by
  Learning to Pull Space onto Surfaces
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto SurfacesInternational Conference on Machine Learning (ICML), 2020
Baorui Ma
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
3DPC
445
209
0
26 Nov 2020
Point Transformer for Shape Classification and Retrieval of 3D and ALS
  Roof PointClouds
Point Transformer for Shape Classification and Retrieval of 3D and ALS Roof PointClouds
Dimple A. Shajahan
Mukund Varma
Ramanathan Muthuganapathy
3DPCViT
177
2
0
08 Nov 2020
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D
  Structure Learning from Silhouette Images
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette ImagesInternational Conference on Machine Learning (ICML), 2020
Zhizhong Han
Chao Chen
Yu-Shen Liu
Matthias Zwicker
234
60
0
12 Jul 2020
Point Cloud Completion by Skip-attention Network with Hierarchical
  Folding
Point Cloud Completion by Skip-attention Network with Hierarchical Folding
Xin Wen
Tianyang Li
Zhizhong Han
Yu-Shen Liu
3DPC
352
280
0
08 May 2020
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
Intrinsic Point Cloud Interpolation via Dual Latent Space NavigationEuropean Conference on Computer Vision (ECCV), 2020
Marie-Julie Rakotosaona
M. Ovsjanikov
3DPC
135
15
0
03 Apr 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point CloudsComputer Vision and Pattern Recognition (CVPR), 2020
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
180
146
0
29 Mar 2020
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding
  Local Region Contexts
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region ContextsComputer Aided Geometric Design (CAGD), 2020
Xinhai Liu
Zhizhong Han
Fangzhou Hong
Yu-Shen Liu
Matthias Zwicker
3DPC
313
23
0
18 Mar 2020
Non-Local Part-Aware Point Cloud Denoising
Non-Local Part-Aware Point Cloud Denoising
Chao Huang
Ruihui Li
Xianzhi Li
Chi-Wing Fu
3DPC
239
12
0
14 Mar 2020
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting
  1D Occupancy Segments From 2D Coordinates
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D CoordinatesEuropean Conference on Computer Vision (ECCV), 2020
Zhizhong Han
Guanhui Qiao
Yu-Shen Liu
Matthias Zwicker
3DPC3DV
543
33
0
12 Mar 2020
GraphTER: Unsupervised Learning of Graph Transformation Equivariant
  Representations via Auto-Encoding Node-wise Transformations
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise TransformationsComputer Vision and Pattern Recognition (CVPR), 2019
Yantao Du
Wei Hu
Guo-Jun Qi
3DPC
284
47
0
19 Nov 2019
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
Fast Low-rank Metric Learning for Large-scale and High-dimensional DataNeural Information Processing Systems (NeurIPS), 2019
Han Liu
Zhizhong Han
Yu-Shen Liu
M. Gu
206
8
0
13 Sep 2019
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a
  Mapping from Parts Detected in Multiple Views to Sentences
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to SentencesACM Multimedia (ACM MM), 2019
Zhizhong Han
Chao Chen
Yu-Shen Liu
Matthias Zwicker
3DPC
245
50
0
31 Jul 2019
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