Feng Xu

Computer Vision and Pattern Recognition · IEEE Transactions on Geoscience and Remote Sensing · 2009–2021

A researcher in the Science corpus: 6 papers; trusts 113 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Xu trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Kaiming He
  6. Ilya Sutskever
  7. Radford M. Neal
  8. L. Eon Bottou
  9. Ross B. Girshick
  10. Diederik P. Kingma

Who trusts Feng Xu overall

  1. Xiaoxiang Zhu
  2. Siwei Yu
  3. Zhimian Zhang
  4. Mohammad Rostami
  5. Haipeng Wang
  6. Jianwei Ma

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. Long Short-Term Memory
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers