Jie Li

Computer Vision and Pattern Recognition · 2 papers · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it
• Media Technology — 46 citations into it
• Computational Mechanics — 20 citations into it
• Biomedical Engineering — 8 citations into it
• Mathematical Physics — 7 citations into it

Whom Jie Li trusts overall

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

1. William T. Freeman
2. Patrick L. Combettes
3. Zhou Wang
4. Stanley J. Osher
5. Yann LeCun
6. Kaiming He
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Guy Gilboa

Papers from Jie Li's perspective

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

Their papers

• Hyperspectral Image Denoising Employing a Spatial–Spectral Deep Residual Convolutional Neural Network (2018) — 449 citations
• Image super-resolution: The techniques, applications, and future (2016) — 537 citations