Fei Shi

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 6 citations into it

Whom Fei Shi trusts overall

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

1. François Chollet

Papers from Fei Shi's perspective

Ordered by how strongly the researchers Fei 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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation (2020) — 594 citations