Miaozhong Xu

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miaozhong Xu trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Shaoqing Ren
  9. Anil M. Cheriyadat
  10. Andrew Zisserman

Papers from Miaozhong Xu's perspective

Ordered by how strongly the researchers Miaozhong 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers