Yilei Shi

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it

Whom Yilei Shi trusts overall

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

1. Geoffrey E. Hinton
2. Ross B. Girshick
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yann LeCun
6. Kaiming He
7. Yoshua Bengio

Papers from Yilei Shi's perspective

Ordered by how strongly the researchers Yilei Shi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. Dropout: a simple way to prevent neural networks from overfitting
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Semi-supervised bidirectional alignment for Remote Sensing cross-domain scene classification (2023) — 69 citations
• Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives (2020) — 314 citations