Tao Liu

Computer Vision and Pattern Recognition · with Guo · 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 Tao Liu trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
4. X. Zhang (in Computer Vision and Pattern Recognition)
5. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
6. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Tao Liu's perspective

Ordered by how strongly the researchers Tao 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. 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. Improving neural networks by preventing co-adaptation of feature detectors
10. Reading Digits in Natural Images with Unsupervised Feature Learning

Their papers

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