Yuyao Tang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 168 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 74 citations into it
• Artificial Intelligence — 47 citations into it
• Model Architectures — 40 citations into it

Whom Yuyao Tang trusts overall

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

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

Papers from Yuyao Tang's perspective

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

Their papers

• DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition (2023) — 326 citations