Jie Yang

Computer Vision and Pattern Recognition · with Qi · 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 Jie Yang trusts overall

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

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

Who trusts Jie Yang overall

1. Roman Suvorov

Papers from Jie Yang's perspective

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

Their papers

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