Daich Azuma

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daich Azuma trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Peter Anderson
  6. Angela Dai
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Chin-Yew Lin
  10. Ilya Sutskever

Who trusts Daich Azuma overall

  1. Sosuke Kobayashi
  2. Tianwen Qian
  3. Xiaojian Ma
  4. Yining Hong
  5. Feng Li
  6. Eiichi Matsumoto
  7. Renrui Zhang

Papers from Daich Azuma's perspective

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

Their papers