Ying Fu

Computer Vision and Pattern Recognition · 1 papers · 2022

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #19,259 of 21,575 by trust here, #20,271 by citations
• Artificial Intelligence — 14 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it; #2,553 of 3,265 by trust here, #3,066 by citations

Whom Ying Fu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick

Who trusts Ying Fu overall

1. Dong Liu
2. Kaiwen Zhang

Papers from Ying Fu's perspective

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

Their papers

• MISSFormer: An Effective Transformer for 2D Medical Image Segmentation (2022) — 453 citations