Dynamic Graph CNN for Learning on Point Clouds

24 January 2018

Yue Wang

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

21 / 1,021 papers shown

Title
PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu Zhongang Qi Fuxin Li 3DPC 73 1,547 0 17 Nov 2018
Hierarchical Bipartite Graph Convolution Networks Marcel Nassar GNN 17 18 0 17 Nov 2018
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition Hanqing Chao Yiwei He Junping Zhang Jianfeng Feng CVBM 11 512 0 15 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 42 209 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 1,611 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 21 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 6 258 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 121 3,087 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 24 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 149 2,423 0 23 Jan 2018
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 65 510 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 263 1,812 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016