Feng Yang

Computer Vision and Pattern Recognition · with Shen · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Model Architectures — 5 citations into it

Whom Feng Yang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Navneet Dalal
5. Kaiming He
6. Karen Simonyan
7. Ross B. Girshick
8. Ilya Sutskever
9. Andrew L. Maas
10. Yangqing Jia

Who trusts Feng Yang overall

1. Wentao Zhu

Papers from Feng Yang's perspective

Ordered by how strongly the researchers Feng Yang 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Histograms of oriented gradients for human detection

Their papers

• Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification (2017) — 615 citations
• Multi-scale Convolutional Neural Networks for Lung Nodule Classification (2015) — 617 citations