Liru Guo

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 18 citations into it

Whom Liru Guo trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He

Papers from Liru Guo's perspective

Ordered by how strongly the researchers Liru Guo 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. Going deeper with convolutions
5. ImageNet Large Scale Visual Recognition Challenge
6. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Dropout: a simple way to prevent neural networks from overfitting
8. Understanding the difficulty of training deep feedforward neural networks
9. Gradient-based learning applied to document recognition
10. Reading Digits in Natural Images with Unsupervised Feature Learning

Their papers

• Residual Networks of Residual Networks: Multilevel Residual Networks (2016) — 372 citations