Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

10 April 2017

Papers citing "Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs"

50 / 518 papers shown

Title
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints Weikun Wu Yan Zhang David Wang Yunqi Lei 3DPC 26 51 0 31 Mar 2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways W. Tan Nannan Qin Lingfei Ma Ying Li Jing Du Guorong Cai Ke Yang Jonathan Li 3DPC 19 196 0 18 Mar 2020
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation JIazhao Zhang Chenyang Zhu Lintao Zheng Kai Xu 3DPC 45 61 0 13 Mar 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering Xin Liu Yongbin Sun Ziwei Liu Dahua Lin 52 26 0 11 Mar 2020
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 48 26 0 09 Mar 2020
Unsupervised Learning of Intrinsic Structural Representation Points Nenglun Chen Lingjie Liu Zhiming Cui Runnan Chen Duygu Ceylan Changhe Tu Wenping Wang 3DPC 25 57 0 03 Mar 2020
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks Lumin Yang Jiajie Zhuang Hongbo Fu Xiangzhi Wei Kun Zhou Youyi Zheng 48 31 0 02 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling Xu Yan Chaoda Zheng Zhuguo Li Sheng Wang Shuguang Cui 3DPC 43 546 0 01 Mar 2020
Infrared and 3D skeleton feature fusion for RGB-D action recognition Alban Main De Boissiere R. Noumeir 41 38 0 28 Feb 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Jianhong Zhang Manli Zhang Zhiwu Lu Tao Xiang Ji-Rong Wen 17 11 0 28 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 38 318 0 25 Feb 2020
FPConv: Learning Local Flattening for Point Convolution Yiqun Lin Zizheng Yan Haibin Huang Dong Du Ligang Liu Shuguang Cui Xiaoguang Han 3DPC 22 145 0 25 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 40 90 0 21 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 30 612 0 19 Feb 2020
Distance Metric Learning for Graph Structured Data Tomoki Yoshida Ichiro Takeuchi Masayuki Karasuyama 22 12 0 03 Feb 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 33 11 0 27 Jan 2020
Theoretically Expressive and Edge-aware Graph Learning Federico Errica D. Bacciu Alessio Micheli 19 6 0 24 Jan 2020
EdgeNets:Edge Varying Graph Neural Networks Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 31 81 0 21 Jan 2020
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images Andrea Bordone Molini D. Valsesia Giulia Fracastoro E. Magli SupR 20 17 0 15 Jan 2020
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity Nikolaos N. Vlassis R. Ma WaiChing Sun AI4CE 21 172 0 08 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 56 279 0 29 Dec 2019
Deep Learning for 3D Point Clouds: A Survey Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Li Liu Bennamoun 3DPC 41 1,648 0 27 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport Tengfei Ma Jie Chen 30 24 0 24 Dec 2019
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling Wenkai Han Chenglu Wen Cheng-Yu Wang Xin Li Qing Li 3DPC 21 93 0 23 Dec 2019
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation Mingye Xu Zhipeng Zhou Yu Qiao 3DPC 30 92 0 23 Dec 2019
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 18 437 0 20 Dec 2019
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds Lin Zhao Wenbing Tao 3DV ISeg 45 105 0 20 Dec 2019
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data Georg Krispel M. Opitz Georg Waltner Horst Possegger Horst Bischof 3DPC 14 67 0 18 Dec 2019
Multi-Channel Graph Convolutional Networks Kaixiong Zhou Qingquan Song Xiao Shi Huang Daochen Zha Na Zou Xia Hu 22 6 0 17 Dec 2019
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds Yonglin Tian Lichao Huang Xuesong Li Yuan Li Zilei Wang Fei-Yue Wang 3DPC 34 3 0 10 Dec 2019
Grid-GCN for Fast and Scalable Point Cloud Learning Qiangeng Xu Xudong Sun Cho-Ying Wu Panqu Wang Ulrich Neumann 3DPC GNN 34 244 0 06 Dec 2019
Spectral-GANs for High-Resolution 3D Point-cloud Generation Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 3DPC 19 36 0 04 Dec 2019
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity Xin Ma Guorong Wu Won Hwa Kim MedIm 8 4 0 03 Dec 2019
Relation Graph Network for 3D Object Detection in Point Clouds Mingtao Feng Syed Zulqarnain Gilani Yaonan Wang Liang Zhang Ajmal Mian 3DPC 27 73 0 30 Nov 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 16 8 0 30 Nov 2019
Geometric Back-projection Network for Point Cloud Classification S. Qiu Saeed Anwar Nick Barnes 3DPC 36 3 0 28 Nov 2019
PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds Wenxuan Wu Zhiyuan Wang Zhuwen Li Wei Liu Fuxin Li 3DPC 17 78 0 27 Nov 2019
A Neural Rendering Framework for Free-Viewpoint Relighting Zhaoyu Chen Anpei Chen Guli Zhang Chengyuan Wang Yu Ji Kiriakos N. Kutulakos Jingyi Yu 27 50 0 26 Nov 2019
Nearest Neighbor Sampling of Point Sets using Rays Liangchen Liu Louis Ly C. Macdonald Y. Tsai 33 1 0 25 Nov 2019
Point Cloud Processing via Recurrent Set Encoding Pengxiang Wu Chao Chen Jingru Yi Dimitris N. Metaxas 3DPC 25 11 0 25 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 23 330 0 18 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark Coates BDL GNN 38 12 0 08 Nov 2019
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning Soumyasundar Pal Florence Regol Mark Coates BDL GNN 19 13 0 26 Oct 2019
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling F. Bianchi Daniele Grattarola L. Livi Cesare Alippi 41 48 0 24 Oct 2019
Graph Representation learning for Audio & Music genre Classification Shubham Dokania Vasudev Singh GNN 36 8 0 23 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 32 5 0 15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 169 0 15 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 28 2 0 07 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani Maria Liakata GNN 42 3 0 03 Oct 2019
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification Albert Mosella-Montoro Javier Ruiz-Hidalgo 3DPC 39 8 0 30 Sep 2019