Guoxian Song

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Generative Models — 32 citations into it

Whom Guoxian Song trusts overall

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

1. Tero Karras
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Jun-Yan Zhu
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Xun Huang

Who trusts Guoxian Song overall

1. Zongze Wu
2. Peihao Zhu
3. Can Wang

Papers from Guoxian Song's perspective

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

Their papers

• AgileGAN (2021) — 60 citations