Shanyan Guan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #15,657 of 21,575 by trust here, #13,815 by citations
• Generative Models — 20 citations into it; #1,490 of 1,956 by trust here, #1,485 by citations
• Artificial Intelligence — 10 citations into it

Whom Shanyan Guan trusts overall

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

1. Diederik P. Kingma
2. Tero Karras
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ming-Yu Liu
7. Rameen Abdal
8. Yann LeCun
9. Jun-Yan Zhu
10. Yoshua Bengio

Who trusts Shanyan Guan overall

1. Yuval Alaluf
2. Or Patashnik
3. Omer Tov
4. Zongze Wu
5. Kyoungkook Kang
6. Yotam Nitzan
7. Peihao Zhu
8. Weihao Xia
9. Daniel Cohen-Or
10. Yuhao Zhu

Papers from Shanyan Guan's perspective

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

Their papers

• Collaborative Learning for Faster StyleGAN Embedding (2020) — 111 citations