Ke Xie

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Xie trusts overall

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

  1. Daniel Munoz
  2. Jamie Shotton
  3. Aleksey Golovinskiy
  4. David G. Lowe
  5. Morgan Quigley

Who trusts Ke Xie overall

  1. Charles Ruizhongtai Qi
  2. P. Hanrahan
  3. Angela Dai
  4. Vladimir G. Kim
  5. Hao Wang
  6. Bo Yang
  7. Minhyuk Sung
  8. Leonidas J. Guibas
  9. Or Litany
  10. Chaozheng Wu

Papers from Ke Xie's perspective

Ordered by how strongly the researchers Ke Xie trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers