Zenghui Sun

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 162 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Natural Language Processing — 12 citations into it
• Artificial Intelligence — 11 citations into it
• Model Architectures — 6 citations into it

Whom Zenghui Sun trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Graves
4. Yoshua Bengio
5. Kai Wang
6. Sepp Hochreiter
7. Karen Simonyan
8. J. Urgen Schmidhuber
9. Alex Krizhevsky
10. Andrew Zisserman

Papers from Zenghui Sun's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Multi-Object Rectified Attention Network for Scene Text Recognition (2019) — 307 citations