Mingyi Shi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 148 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Aerospace Engineering — 8 citations into it

Whom Mingyi Shi trusts overall

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

1. Karen Simonyan
2. David G. Lowe
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Ilya Sutskever
7. Kaiming He
8. Ross B. Girshick
9. Diederik P. Kingma
10. Yoshua Bengio

Papers from Mingyi Shi's perspective

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

Their papers

• Neural best-buddies (2018) — 43 citations