Fei Cheng

Computer Vision and Pattern Recognition · with Ding · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 14 citations into it
• Human-Computer Interaction — 9 citations into it
• Biomedical Engineering — 7 citations into it

Whom Fei Cheng trusts overall

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

1. Teuvo Kohonen
2. Zicheng Liu
3. Xiaodong Yang
4. Kang Li

Papers from Fei Cheng's perspective

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

Their papers

• Learning hierarchical spatio-temporal pattern for human activity prediction (2016) — 38 citations