Lizhi Liu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 6 citations into it
• Biomedical Engineering — 5 citations into it

Whom Lizhi Liu trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Dan Claudiu Ciresan
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Evan Shelhamer
7. Yann LeCun
8. Ilya Sutskever
9. Yoshua Bengio
10. Fausto Milletarì

Papers from Lizhi Liu's perspective

Ordered by how strongly the researchers Lizhi 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• PSNet: prostate segmentation on MRI based on a convolutional neural network (2018) — 98 citations