Dynamic Graph CNN for Learning on Point Clouds

24 January 2018

Yue Wang

Papers citing "Dynamic Graph CNN for Learning on Point Clouds"

50 / 1,021 papers shown

Title
StructureNet: Hierarchical Graph Networks for 3D Shape Generation Kaichun Mo Paul Guerrero L. Yi Hao Su Peter Wonka Niloy Mitra Leonidas J. Guibas 3DPC 33 133 0 01 Aug 2019
Deformable Filter Convolution for Point Cloud Reasoning Yuwen Xiong Mengye Ren Renjie Liao K. Wong R. Urtasun 3DPC 34 17 0 30 Jul 2019
PointHop: An Explainable Machine Learning Method for Point Cloud Classification Min Zhang Haoxuan You Pranav Kadam Shan Liu C.-C. Jay Kuo 3DPC 11 109 0 30 Jul 2019
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction Zhizhong Han Xiyang Wang Yu-Shen Liu Matthias Zwicker 3DPC 27 143 0 30 Jul 2019
How much real data do we actually need: Analyzing object detection performance using synthetic and real data F. Nowruzi Prince Kapoor Dhanvin Kolhatkar Fahed Al Hassanat R. Laganière Julien Rebut 36 77 0 16 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning Zhijian Liu Haotian Tang Chengyue Wu Song Han 3DPC 67 663 0 08 Jul 2019
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks Xing Gao H. Xiong P. Frossard 32 41 0 01 Jul 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels A. Poulenard Marie-Julie Rakotosaona Yann Ponty M. Ovsjanikov 3DPC 28 102 0 27 Jun 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization I. Lim Moritz Ibing Leif Kobbelt 3DPC 3DV 27 15 0 27 Jun 2019
Spatial Transformer for 3D Point Clouds Jiayun Wang Rudrasis Chakraborty Stella X. Yu 3DPC 22 14 0 26 Jun 2019
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view Hager Radi Waleed Ali 3DPC 17 14 0 12 Jun 2019
Point Clouds Learning with Attention-based Graph Convolution Networks Zhuyang Xie Junzhou Chen B. Peng 3DPC 19 53 0 31 May 2019
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds P. Jin Tianhao Lai Rongjie Lai Bin Dong 3DPC 9 3 0 29 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Rieck Marc Niethammer Roland Kwitt 22 96 0 27 May 2019
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation Arsalan Mousavian Clemens Eppner Dieter Fox 3DPC 42 559 0 25 May 2019
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud Can Chen L. Z. Fragonara Antonios Tsourdos 3DPC 19 86 0 21 May 2019
Learning Video Representations from Correspondence Proposals Xingyu Liu Joon-Young Lee Hailin Jin 35 63 0 20 May 2019
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing Chaitanya Kaul Nick E. Pears S. Manandhar 3DPC 27 14 0 18 May 2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering Siheng Chen Chaojing Duan Yaoqing Yang Duanshun Li Chen Feng Dong Tian 3DPC 34 71 0 11 May 2019
Unsupervised Detection of Distinctive Regions on 3D Shapes Xianzhi Li Lequan Yu Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 36 19 0 05 May 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 66 517 0 29 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 20 1 0 23 Apr 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas J. Guibas 3DPC 78 2,508 0 18 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan 3DPC 39 886 0 16 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification E. Nezhadarya E. Taghavi Ryan Razani Bingbing Liu Jun Luo 3DPC 25 107 0 11 Apr 2019
Context-aware Human Motion Prediction Enric Corona Albert Pumarola Guillem Alenyà Francesc Moreno-Noguer 3DH 11 139 0 06 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing Alexandre Boulch 3DPC 31 239 0 04 Apr 2019
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds Ali K. Thabet Humam Alwassel Guohao Li 3DPC 39 28 0 30 Mar 2019
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization Siyuan Qiao Huiyu Wang Chenxi Liu Wei Shen Alan Yuille MQ 32 144 0 25 Mar 2019
NormalNet: Learning-based Normal Filtering for Mesh Denoising Wenbo Zhao Xianming Liu Yongsen Zhao Xiaopeng Fan Debin Zhao AI4CE 18 7 0 10 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,258 0 06 Mar 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 24 122 0 28 Feb 2019
Zero-shot Learning of 3D Point Cloud Objects A. Cheraghian Shafin Rahman L. Petersson 3DPC 30 56 0 27 Feb 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks Andrew N. Carr David Wingate BDL 37 12 0 26 Feb 2019
Associatively Segmenting Instances and Semantics in Point Clouds Xinlong Wang Shu Liu Xiaoyong Shen Chunhua Shen Jiaya Jia ISeg 3DPC 22 248 0 26 Feb 2019
ParticleNet: Jet Tagging via Particle Clouds H. Qu L. Gouskos 3DPC MU 30 229 0 22 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 35 135 0 21 Feb 2019
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation Zhidong Liang Ming Yang Chunxiang Wang 3DPC 24 27 0 14 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 31 1 0 24 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 47 3,629 0 16 Jan 2019
PointWise: An Unsupervised Point-wise Feature Learning Network Matan Shoef Sharon Fogel Daniel Cohen-Or 3DPC 14 10 0 14 Jan 2019
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation C. Jiang Dequan Wang Jingwei Huang P. Marcus Matthias Nießner 3DPC 22 16 0 07 Jan 2019
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds Marie-Julie Rakotosaona Vittorio La Barbera Paul Guerrero Niloy J. Mitra M. Ovsjanikov 3DPC 24 299 0 04 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 167 8,393 0 03 Jan 2019
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 22 49 0 27 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Yuchen Zhang Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 37 5,416 0 20 Dec 2018
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN G. Pan Jun Wang R. Ying Peilin Liu 3DPC 9 16 0 15 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation Zhiyu Sun Ethan Rooke Jerome Charton Yusen He Jia Lu Stephen Seung-Yeob Baek 29 21 0 03 Dec 2018
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression Xiang Gao Wei Hu Jiaxiang Tang Jiaying Liu Zongming Guo 3DH GNN 32 23 0 29 Nov 2018
PointCloud Saliency Maps Tianhang Zheng Changyou Chen Junsong Yuan Bo Li K. Ren 3DPC 25 207 0 28 Nov 2018