Ke Xu

Computer Vision and Pattern Recognition · with Lau · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Xu trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Kai Zhang
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Jimmy Ba
  8. Lei Zhang
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Ke Xu overall

  1. Xiaogang Xu
  2. Risheng Liu
  3. Jiang Hai
  4. Long Ma
  5. Ruixing Wang

Papers from Ke Xu's perspective

Ordered by how strongly the researchers Ke Xu 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: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers