Yong Shi

Computer Vision and Pattern Recognition · 1 papers · 2020

A researcher in the Science corpus: 1 paper; trusts 183 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Generative Models — 12 citations into it
• Media Technology — 8 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it

Whom Yong Shi trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Karen Simonyan
5. Zhou Wang
6. Ross B. Girshick
7. Hamid R. Sheikh
8. Yann LeCun
9. Andrew Zisserman
10. Diederik P. Kingma

Papers from Yong Shi's perspective

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

Their papers

• Learning to Incorporate Structure Knowledge for Image Inpainting (2020) — 146 citations