Siyuan Liu

Computer Vision and Pattern Recognition · with Zhang · 2018

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it

Whom Siyuan Liu trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Individualized Treat
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Kaiming He
7. Alex Krizhevsky
8. Radu Timofte
9. Jimmy Ba
10. Chao Dong

Who trusts Siyuan Liu overall

1. Andreas Lugmayr
2. Saeed Anwar
3. Zhihao Wang
4. Liangbin Xie

Papers from Siyuan Liu's perspective

Ordered by how strongly the researchers Siyuan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks (2018) — 511 citations