Feng Shi

Computer Vision and Pattern Recognition · with Cao · 2017

A researcher in the Science corpus: 1 paper; trusts 117 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #10,585 of 21,575 by trust here, #12,689 by citations

Whom Feng Shi trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Yoshua Bengio
6. Kaiming He
7. Ilya Sutskever
8. Christian Szegedy
9. Ross B. Girshick
10. Jia Deng

Who trusts Feng Shi overall

1. Quanshi Zhang
2. Song-Chun Zhu
3. Chandan Singh
4. W. James Murdoch

Papers from Feng Shi's perspective

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

Their papers

• Interpreting CNN knowledge via an Explanatory Graph (2017) — 256 citations