Alireza Borjali

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 29 citations into it
• Model Architectures — 11 citations into it
• Pulmonary and Respiratory Medicine — 5 citations into it

Whom Alireza Borjali trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Kunihiko Fukushima
5. Sergey Ioffe
6. Christian Szegedy
7. Ilya Sutskever
8. Andrew Zisserman
9. Kaiming He
10. Matthew D. Zeiler

Papers from Alireza Borjali's perspective

Ordered by how strongly the researchers Alireza Borjali 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet Large Scale Visual Recognition Challenge
5. Gradient-based learning applied to document recognition
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. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A scoping review of transfer learning research on medical image analysis using ImageNet (2020) — 465 citations