Overview: Computer vision and machine learning for microstructural
characterization and analysis

Overview: Computer vision and machine learning for microstructural characterization and analysis

28 May 2020

Elizabeth A. Holm

Andrew R. Kitahara

Thomas P. Matson

Srujana Rao Yarasi

Papers citing "Overview: Computer vision and machine learning for microstructural characterization and analysis"

19 / 19 papers shown

Title
3D variational autoencoder for fingerprinting microstructure volume elements Michael D. White Michael D. Atkinson Adam J. Plowman Pratheek Shanthraj 66 0 0 21 Mar 2025
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials Sehyun Chun S. Roy Y. Nguyen Joseph B. Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE 36 93 0 05 Apr 2020
Pores for thought: The use of generative adversarial networks for the stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries Andrea Gayon-Lombardo L. Mosser N. Brandon S. J. Cooper AI4CE 41 121 0 17 Feb 2020
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 146 2,438 0 06 Sep 2018
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel Brian L. DeCost Bo Lei T. Francis Elizabeth A. Holm AI4CE 34 143 0 04 May 2018
A comparative study of feature selection methods for stress hotspot classification in materials Ankita Mangal Elizabeth A. Holm 18 63 0 19 Apr 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 63 2,771 0 13 Dec 2017
Building Data-driven Models with Microstructural Images: Generalization and Interpretability Julia Ling Maxwell Hutchinson Erin Antono Brian L. DeCost Elizabeth A. Holm B. Meredig AI4CE OOD 31 67 0 01 Nov 2017
Advanced Steel Microstructural Classification by Deep Learning Methods Seyedmajid Azimi D. Britz M. Engstler Mario Fritz F. Mücklich 47 362 0 20 Jun 2017
ActionVLAD: Learning spatio-temporal aggregation for action classification Rohit Girdhar Deva Ramanan Abhinav Gupta Josef Sivic Bryan C. Russell AI4TS 68 451 0 10 Apr 2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels Aayush Bansal Xinlei Chen Bryan C. Russell Abhinav Gupta Deva Ramanan SSeg 64 120 0 21 Feb 2017
Inferring low-dimensional microstructure representations using convolutional neural networks Nicholas Lubbers T. Lookman K. Barros 33 109 0 08 Nov 2016
SIFT Meets CNN: A Decade Survey of Instance Retrieval Liang Zheng Yi Yang Q. Tian 60 696 0 05 Aug 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 421 61,900 0 04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.3K 76,547 0 18 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.0K 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.2K 39,383 0 01 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 295 43,290 0 01 May 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 188 16,311 0 30 Apr 2014

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