Kazuyuki Miyazawa

Computer Vision and Pattern Recognition · with Chan · 2017

A researcher in the Science corpus: 1 paper; trusts 375 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kazuyuki Miyazawa trusts overall

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

  1. Karen Simonyan
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Yann LeCun
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Kazuyuki Miyazawa overall

  1. Junting Pan

Papers from Kazuyuki Miyazawa's perspective

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

Their papers