Ning Yan

Computer Vision and Pattern Recognition · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Ning Yan trusts overall

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

1. Chao Dong
2. Gary J. Sullivan
3. Thomas Wiegand
4. Yangqing Jia
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Chen Change Loy
8. Kaiming He
9. Vinod Nair
10. Ilya Sutskever

Who trusts Ning Yan overall

1. Shuai Huo
2. Zhenghui Zhao
3. Dong Liu

Papers from Ning Yan's perspective

Ordered by how strongly the researchers Ning 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. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• A convolutional neural network approach for half-pel interpolation in video coding (2017) — 49 citations