Kun Yuan

Computer Vision and Pattern Recognition · with Liu · 2021

A researcher in the Science corpus: 2 papers; trusts 244 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 — 53 citations into it
• Model Architectures — 23 citations into it
• Optimization & Training — 7 citations into it

Whom Kun Yuan 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. Yoshua Bengio
6. Diederik P. Kingma
7. Ilya Sutskever
8. Karen Simonyan
9. Yann LeCun
10. Andrew Zisserman

Who trusts Kun Yuan overall

1. Xiangyu Chen
2. Jianwei Yang
3. Zhendong Wang
4. Zihang Dai
5. Kai Han
6. Yawei Li
7. Salman Hameed Khan
8. Ali Hassani
9. Yuting Gao
10. Yuhui Yuan

Papers from Kun Yuan's perspective

Ordered by how strongly the researchers Kun Yuan 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

• Incorporating Convolution Designs into Visual Transformers (2021) — 600 citations
• Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch (2021) — 313 citations