Yunfan Liu

Computer Vision and Pattern Recognition · with Liu · 2024

A researcher in the Science corpus: 1 paper; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Artificial Intelligence — 43 citations into it
• Model Architectures — 41 citations into it

Whom Yunfan Liu trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Yoshua Bengio

Papers from Yunfan Liu's perspective

Ordered by how strongly the researchers Yunfan Liu 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Microsoft COCO: Common Objects in Context
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• VMamba: Visual State Space Model (2024) — 2,640 citations