Kangfu Mei

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 165 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Media Technology — 15 citations into it

Whom Kangfu Mei trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Chao Dong
5. Alex Krizhevsky
6. Jiwon Kim
7. Radu Timofte
8. Yann LeCun
9. Yoshua Bengio
10. Jimmy Ba

Papers from Kangfu Mei's perspective

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

Their papers

• Multi-scale Residual Network for Image Super-Resolution (2018) — 827 citations