Point-Cloud Deep Learning of Porous Media for Permeability Prediction

18 July 2021

Papers citing "Point-Cloud Deep Learning of Porous Media for Permeability Prediction"

23 / 23 papers shown

Title
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries Ali Kashefi Davis Rempe Leonidas Guibas 3DPC AI4CE 47 200 0 15 Oct 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations Davis Rempe Tolga Birdal Yongheng Zhao Zan Gojcic Srinath Sridhar Leonidas Guibas 3DPC 82 71 0 06 Aug 2020
Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning K. Graczyk M. Matyka 3DV AI4CE 81 113 0 06 Jul 2020
DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials A. Rabbani M. Babaei R. Shams Ying Da Wang Traiwit Chung AI4CE 13 71 0 03 May 2020
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media Ying Da Wang Traiwit Chung R. Armstrong P. Mostaghimi AI4CE 48 18 0 22 Apr 2020
Turbulence Enrichment using Physics-informed Generative Adversarial Networks Akshay Subramaniam Man Long Wong Raunak Borker S. Nimmagadda S. Lele GAN AI4CE 82 38 0 04 Mar 2020
Deep Hough Voting for 3D Object Detection in Point Clouds C. Qi Or Litany Kaiming He Leonidas Guibas 3DPC 103 1,287 0 21 Apr 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 154 2,535 0 18 Apr 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 97 2,302 0 17 Jan 2019
FlowNet3D: Learning Scene Flow in 3D Point Clouds Xingyu Liu C. Qi Leonidas Guibas 3DPC 85 480 0 04 Jun 2018
Revisiting Small Batch Training for Deep Neural Networks Dominic Masters Carlo Luschi ODL 69 665 0 20 Apr 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,144 0 24 Jan 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 153 486 0 21 Dec 2017
Frustum PointNets for 3D Object Detection from RGB-D Data C. Qi Wen Liu Chenxia Wu Hao Su Leonidas Guibas 3DPC 147 2,264 0 22 Nov 2017
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network Jin Yamanaka S. Kuwashima Takio Kurita SupR 52 215 0 18 Jul 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 346 11,105 0 07 Jun 2017
Understanding Convolution for Semantic Segmentation Panqu Wang Pengfei Chen Ye Yuan Ding Liu Zehua Huang Xiaodi Hou G. Cottrell SSeg 70 1,690 0 27 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 481 14,309 0 02 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 424 2,937 0 15 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 193 2,198 0 24 Jun 2012