Hong Liu

Computer Vision and Pattern Recognition · with Zhang · 2021

A researcher in the Science corpus: 1 paper; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 175 citations into it
• Artificial Intelligence — 137 citations into it

Whom Hong Liu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Karen Simonyan

Papers from Hong Liu's perspective

Ordered by how strongly the researchers Hong Liu 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. Long Short-Term Memory
5. ImageNet Large Scale Visual Recognition Challenge
6. Going deeper with convolutions
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. GENERATIVE ADVERSARIAL NETS
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Recent advances and clinical applications of deep learning in medical image analysis (2021) — 981 citations