Chiao Liu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Electrical and Electronic Engineering — 9 citations into it; #8,594 of 16,539 by trust here, #9,402 by citations
• Model Architectures — 6 citations into it
• Cognitive Neuroscience — 5 citations into it; #6,241 of 10,852 by trust here, #5,990 by citations

Whom Chiao Liu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Peter U. Diehl
4. Karen Simonyan

Who trusts Chiao Liu overall

1. Wei Fang
2. Nitin Rathi

Papers from Chiao Liu's perspective

Ordered by how strongly the researchers Chiao 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet Large Scale Visual Recognition Challenge
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Dropout: a simple way to prevent neural networks from overfitting
8. Identity Mappings in Deep Residual Networks
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Going Deeper in Spiking Neural Networks: VGG and Residual Architectures (2018) — 1,229 citations