Yi Li

Computer Vision and Pattern Recognition · with Fei · 2021

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 25 citations into it

Whom Yi Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Shaoqing Ren
5. Ilya Sutskever
6. Ross B. Girshick
7. Yoshua Bengio
8. Diederik P. Kingma
9. Yann LeCun
10. Andrej Karpathy

Papers from Yi Li's perspective

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

Their papers

• Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval (2021) — 56 citations