Chang Liu

Computer Vision and Pattern Recognition · with Cui · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #20,042 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 8 citations into it

Whom Chang Liu trusts overall

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

1. Yoshua Bengio
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Andrew L. Maas
6. Xavier Glorot
7. Ilya Sutskever

Who trusts Chang Liu overall

1. Arvid Lundervold

Papers from Chang Liu's perspective

Ordered by how strongly the researchers Chang Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Dropout: a simple way to prevent neural networks from overfitting
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Understanding the difficulty of training deep feedforward neural networks

Their papers

• Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network (2018) — 180 citations