Yili Fu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 13 citations into it

Whom Yili Fu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Tsung-Yi Lin
4. Ross B. Girshick
5. Mykhaylo Andriluka
6. Geoffrey E. Hinton

Papers from Yili Fu's perspective

Ordered by how strongly the researchers Yili 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Monocular, One-stage, Regression of Multiple 3D People (2020) — 346 citations