Yu He

Computer Vision and Pattern Recognition · with Meng · 2020

A researcher in the Science corpus: 2 papers; trusts 235 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Artificial Intelligence — 19 citations into it
• Model Architectures — 9 citations into it
• Industrial and Manufacturing Engineering — 6 citations into it
• Media Technology — 6 citations into it

Whom Yu He trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Yann LeCun
8. Karen Simonyan
9. Piotr Doll'ar
10. Ilya Sutskever

Who trusts Yu He overall

1. Jing Yang

Papers from Yu He's perspective

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

Their papers

• An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features (2020) — 1,102 citations
• PGA-Net: Pyramid Feature Fusion and Global Context Attention Network for Automated Surface Defect Detection (2020) — 444 citations