Jiayu Huo

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom Jiayu Huo trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Ross B. Girshick
5. Alex Krizhevsky
6. Yann LeCun
7. Yoshua Bengio
8. Vinod Nair
9. Tsung-Yi Lin
10. Ilya Sutskever

Papers from Jiayu Huo's perspective

Ordered by how strongly the researchers Jiayu Huo 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia (2020) — 328 citations