Caiyun Yang

Computer Vision and Pattern Recognition · 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 Caiyun Yang trusts overall

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

1. Alex Krizhevsky
2. Navneet Dalal
3. Geoffrey E. Hinton
4. Yann LeCun

Papers from Caiyun Yang's perspective

Ordered by how strongly the researchers Caiyun Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. Histograms of oriented gradients for human detection
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Backpropagation Applied to Handwritten Zip Code Recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

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