Fupin Yao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Computational Mechanics — 17 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Fupin Yao trusts overall

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

1. Ayan Sinha
2. Shuran Song
3. Geoffrey E. Hinton
4. Yann LeCun
5. Daniel Maturana
6. Alex Krizhevsky
7. Song Bai
8. Emil Praun
9. Wouter Boomsma
10. Kaiming He

Who trusts Fupin Yao overall

1. Taco Cohen

Papers from Fupin Yao's perspective

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

Their papers

• Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution (2018) — 45 citations