Shakib Yazdani

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Shakib Yazdani trusts overall

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

1. Kaiming He

Who trusts Shakib Yazdani overall

1. Fatemeh Haghighat

Papers from Shakib Yazdani's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Densely Connected Convolutional Networks
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Learning a Deep Convolutional Network for Image Super-Resolution
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning (2020) — 891 citations