Yuan Yuan

Computer Vision and Pattern Recognition · with Gao · 2019

A researcher in the Science corpus: 1 paper; trusts 144 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #19,498 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 18 citations into it; #31,760 of 35,345 by trust here, #27,551 by citations
• Evaluation & Benchmarks — 5 citations into it
• Safety, Risk, Reliability and Quality — 5 citations into it

Whom Yuan Yuan trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Vishwanath A. Sindagi
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Stephan R. Richter
8. Ross B. Girshick
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Yuan Yuan overall

1. Sergey I. Nikolenko

Papers from Yuan Yuan's perspective

Ordered by how strongly the researchers Yuan Yuan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Fully convolutional networks for semantic segmentation

Their papers

• Learning From Synthetic Data for Crowd Counting in the Wild (2019) — 601 citations