Yang Chen

Computer Vision and Pattern Recognition · with Lai · 2018

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #17,728 of 21,575 by trust here, #15,162 by citations
• Generative Models — 12 citations into it
• Model Architectures — 5 citations into it

Whom Yang Chen trusts overall

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

1. Leon A. Gatys
2. Karen Simonyan
3. Andrew L. Maas
4. John F. Canny
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Kaiming He
8. Andrew Zisserman
9. Ronan Collobert
10. Yann LeCun

Who trusts Yang Chen overall

1. Sung Woo Park
2. Tao Yang
3. Jie Gui
4. Taekyung Kim
5. Yonggan Fu
6. Junseok Kwon
7. Peiran Ren
8. Zhenan Sun
9. Minki Jeong
10. Wuyang Chen

Papers from Yang Chen's perspective

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

Their papers

• CartoonGAN: Generative Adversarial Networks for Photo Cartoonization (2018) — 402 citations