Shoumeng Yan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #7,233 of 21,575 by trust here, #3,765 by citations
• Artificial Intelligence — 22 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Shoumeng Yan trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Karen Simonyan
7. Yann LeCun
8. X. Zhang
9. Ross B. Girshick
10. Andrew Zisserman

Who trusts Shoumeng Yan overall

1. Yang He
2. Han Cai
3. Jiahui Yu

Papers from Shoumeng Yan's perspective

Ordered by how strongly the researchers Shoumeng Yan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Et al

Their papers

• Learning Efficient Convolutional Networks through Network Slimming (2017) — 2,811 citations