Sattar Dorafshan

Civil and Structural Engineering · 2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 13 citations into it; #3,185 of 6,160 by trust here, #3,892 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 6 citations into it

Whom Sattar Dorafshan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Young-Jin Cha
2. Alex Krizhevsky
3. Deegan Atha
4. Mohammad Reza Jahanshahi
5. Fu-Chen Chen
6. Yuequan Bao
7. Geoffrey E. Hinton
8. Wooram Choi
9. Ilya Sutskever
10. J. Urgen Schmidhuber

Who trusts Sattar Dorafshan overall

1. Chuan-Zhi Dong
2. Mohsen Azimi
3. Necati Catbas
4. Armin Dadras Eslamlou

Papers from Sattar Dorafshan's perspective

Ordered by how strongly the researchers Sattar Dorafshan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• SDNET2018: An annotated image dataset for non-contact concrete crack detection using deep convolutional neural networks (2018) — 323 citations
• Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete (2018) — 681 citations