Dynamic Graph CNN for Learning on Point Clouds

24 January 2018

Yue Wang

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

35 / 935 papers shown

Title
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 13 247 0 26 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 29 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 35 3,616 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
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 18 299 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 161 8,362 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 Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 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 27 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
PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu Zhongang Qi Fuxin Li 3DPC 12 1,544 0 17 Nov 2018
Hierarchical Bipartite Graph Convolution Networks Marcel Nassar GNN 17 18 0 17 Nov 2018
3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds Fei Yang C. Zheng 3DPC 33 41 0 06 Nov 2018
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 30 209 0 13 Oct 2018
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun Yue Wang Ziwei Liu J. Siegel Sanjay E. Sarma 3DPC 31 195 0 12 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 97 1,606 0 04 Oct 2018
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds Francis Engelmann Theodora Kontogianni Jonas Schult Bastian Leibe 3DPC 19 109 0 02 Oct 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Bo-wen Li 3DPC 24 286 0 19 Sep 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 16 76 0 17 Sep 2018
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition Haoxuan You Yifan Feng Rongrong Ji Yue Gao 3DPC 36 169 0 23 Aug 2018
Occlusion Resistant Object Rotation Regression from Point Cloud Segments Ge Gao M. Lauri Jianwei Zhang Simone Frintrop 3DPC 15 24 0 16 Aug 2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds Pedro Hermosilla Tobias Ritschel Pere-Pau Vázquez À. Vinacua Timo Ropinski 3DPC 6 257 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 109 3,080 0 04 Jun 2018
X-Vision: An augmented vision tool with real-time sensing ability in tagged environments Yongbin Sun S. N. Kantareddy R. Bhattacharyya Sanjay E. Sarma 16 11 0 02 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas J. Guibas AAML GNN 33 41 0 31 May 2018
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions Minhyuk Sung Hao Su Ronald Yu Leonidas J. Guibas 3DPC 3DV 22 34 0 25 May 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 131 2,420 0 23 Jan 2018
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 65 509 0 17 Nov 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 254 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016