Miao Zhang

Computer Vision and Pattern Recognition · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Miao Zhang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. X. Zhang
  6. Ross B. Girshick
  7. Shaoqing Ren
  8. Deng-Ping Fan
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Miao Zhang overall

  1. Deng-Ping Fan

Papers from Miao Zhang's perspective

Ordered by how strongly the researchers Miao Zhang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  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