Rao Fu

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 2 papers; trusts 135 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 34 citations into it
• Model Architectures — 29 citations into it

Whom Rao Fu trusts overall

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

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

Who trusts Rao Fu overall

1. Qin Liu

Papers from Rao Fu's perspective

Ordered by how strongly the researchers Rao Fu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• HRFormer: High-Resolution Transformer for Dense Prediction (2021) — 330 citations
• HRFormer: High-Resolution Vision Transformer for Dense Predict (2021) — 342 citations