Feng Xu

Computer Vision and Pattern Recognition · with Mou · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 179 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 119 citations into it; #18,328 of 21,575 by trust here, #6,954 by citations
• Media Technology — 67 citations into it; #2,945 of 3,621 by trust here, #582 by citations
• Artificial Intelligence — 42 citations into it
• Aerospace Engineering — 29 citations into it
• Ocean Engineering — 11 citations into it
• Environmental Engineering — 8 citations into it

Whom Feng Xu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yann LeCun
5. Ross B. Girshick
6. David G. Lowe
7. Yoshua Bengio
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Feng Xu overall

1. Zhenwei Shi
2. Chaopeng Shen

Papers from Feng Xu's perspective

Ordered by how strongly the researchers Feng Xu 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Deep learning in remote sensing: a review (2017) — 1,896 citations
• Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives (2020) — 314 citations