Ye Yuan

Computer Vision and Pattern Recognition · 1 papers · 2017

A researcher in the Science corpus: 1 paper; trusts 166 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #14,531 of 21,575 by trust here, #6,089 by citations
• Artificial Intelligence — 20 citations into it; #23,703 of 35,345 by trust here, #8,525 by citations
• Model Architectures — 9 citations into it

Whom Ye Yuan trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Karen Simonyan
5. Ross B. Girshick
6. Matthew D. Zeiler
7. Andrew Zisserman
8. Yann LeCun
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Ye Yuan overall

1. Liang-Chieh Chen
2. Changqian Yu

Papers from Ye Yuan's perspective

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

Their papers

• Understanding Convolution for Semantic Segmentation (2017) — 1,908 citations