Ran Yi

Computer Vision and Pattern Recognition · with Han · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #12,925 of 21,575 by trust here, #18,782 by citations
• Generative Models — 11 citations into it; #1,182 of 1,956 by trust here, #1,796 by citations

Whom Ran Yi trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Leon A. Gatys
4. Jun-Yan Zhu
5. Alex Krizhevsky
6. Phillip Isola
7. Chuan Li
8. Jimmy Ba
9. Nitish Srivastava
10. Carlos Eduardo Thomaz

Who trusts Ran Yi overall

1. Weihao Xia
2. Yujiu Yang
3. Jing-Hao Xue
4. Pan Zhang
5. Baoyuan Wu
6. Han Hao
7. Bo Zhang

Papers from Ran Yi's perspective

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

Their papers

• APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs (2019) — 176 citations
• Hybrid modeling of China’s vehicle ownership and projection through 2050 (2011) — 123 citations