Caijing Miao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Caijing Miao trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Christian Szegedy
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Shaoqing Ren
  8. Andrew Zisserman
  9. X. Zhang
  10. Mark Everingham

Who trusts Caijing Miao overall

  1. Yanlu Wei

Papers from Caijing Miao's perspective

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

Their papers