Yutong Bai

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 293 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 72 citations into it
• Artificial Intelligence — 69 citations into it
• Model Architectures — 30 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Optimization & Training — 11 citations into it
• Molecular Biology — 6 citations into it

Whom Yutong Bai trusts overall

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

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

Who trusts Yutong Bai overall

1. Xiaofeng Mao

Papers from Yutong Bai's perspective

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

Their papers

• Are Transformers More Robust Than CNNs? (2021) — 345 citations
• TransFG: A Transformer Architecture for Fine-grained Recognition (2021) — 559 citations