Duyun Chen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 12 citations into it
• Epidemiology — 6 citations into it

Whom Duyun Chen trusts overall

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

1. Alex Krizhevsky
2. Jia Deng
3. Arthur Getis
4. Geoffrey E. Hinton
5. Hal Daumé Iii
6. Ilya Sutskever
7. Yann LeCun
8. Ross B. Girshick

Papers from Duyun Chen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Fine-Grained Car Detection for Visual Census Estimation (2017) — 155 citations
• Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States (2017) — 481 citations