Sicheng Li

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 106 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 37 citations into it
• Biomedical Engineering — 20 citations into it

Whom Sicheng Li trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Andrew Zisserman
4. Geoffrey E. Hinton
5. Yifan Zhang
6. Kaiming He
7. Yann LeCun
8. Yoshua Bengio
9. Jun Liu
10. Diederik P. Kingma

Who trusts Sicheng Li overall

1. Yisheng Song

Papers from Sicheng Li's perspective

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

Their papers

• Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition (2021) — 363 citations
• LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets (2020) — 153 citations