Fei Shan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Fei Shan trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Diederik P. Kingma
5. Alex Krizhevsky

Who trusts Fei Shan overall

1. Dilbag Singh
2. Deng-Ping Fan
3. Feng Shi
4. Guotai Wang
5. Di Dong

Papers from Fei Shan's perspective

Ordered by how strongly the researchers Fei Shan 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia (2020) — 1,146 citations
• Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia (2020) — 328 citations
• Lung Infection Quantification of COVID-19 in CT Images with Deep Learning (2020) — 586 citations