Yinlin Hu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Aerospace Engineering — 17 citations into it
• Control and Systems Engineering — 10 citations into it

Whom Yinlin Hu trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Vincent Lepetit
4. David G. Lowe
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Eric Brachmann
8. Rob Fergus
9. David Eigen
10. Yann LeCun

Who trusts Yinlin Hu overall

1. Guoguang Du
2. Shreyas Hampali
3. Yisheng He
4. Enric Corona
5. Mahdi Rad
6. Kai Wang

Papers from Yinlin Hu's perspective

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

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

Their papers

• Segmentation-Driven 6D Object Pose Estimation (2018) — 318 citations