Xin Liu

Computer Vision and Pattern Recognition · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Liu trusts overall

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

  1. Ross B. Girshick
  2. Jianguo Zhang
  3. Ian J. Goodfellow
  4. Alex Krizhevsky
  5. Kaiming He
  6. Shaoqing Ren
  7. Christian Szegedy
  8. Geoffrey E. Hinton
  9. Nicholas Carlini
  10. Ilya Sutskever

Papers from Xin Liu's perspective

Ordered by how strongly the researchers Xin Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers