Minshan Xie

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minshan Xie trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. William T. Freeman
  6. Jimmy Ba
  7. Jia Deng
  8. Chao Dong
  9. X. Zhang
  10. Yoshua Bengio

Papers from Minshan Xie's perspective

Ordered by how strongly the researchers Minshan Xie 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers