Sadegh Mahmoudkhani

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 6 citations into it

Whom Sadegh Mahmoudkhani trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Shaoqing Ren
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Matthew D. Zeiler
7. C. Kuo
8. Rob Fergus

Who trusts Sadegh Mahmoudkhani overall

1. Young-Jin Cha
2. Dongho Kang

Papers from Sadegh Mahmoudkhani's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Gradient-based learning applied to document recognition
6. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types (2018) — 1,419 citations