Yunfan Liu

Computer Vision and Pattern Recognition · with Chao · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 289 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Generative Models — 20 citations into it
• Artificial Intelligence — 15 citations into it

Whom Yunfan Liu trusts overall

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

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

Who trusts Yunfan Liu overall

1. Dandan Shan
2. Chen Gao
3. Masato Tamura
4. Yuval Alaluf
5. Georgia Gkioxari

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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Learning to Detect Human-Object Interactions (2017) — 633 citations
• Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators? (2020) — 20 citations