Yuanyuan Wang

Computer Vision and Pattern Recognition · with Zhu · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it
• Media Technology — 42 citations into it
• Artificial Intelligence — 19 citations into it
• Model Architectures — 9 citations into it

Whom Yuanyuan Wang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Ross B. Girshick
5. Kaiming He
6. Ilya Sutskever
7. Diederik P. Kingma
8. Yann LeCun
9. Yoshua Bengio
10. David G. Lowe

Papers from Yuanyuan Wang's perspective

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

Their papers

• Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives (2020) — 314 citations
• Building Instance Classification Using Street View Images (2018) — 351 citations