Shigeyuki Sakazawa

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Shigeyuki Sakazawa trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yann LeCun
  4. Sepp Hochreiter
  5. Yoshua Bengio
  6. Sergey Zagoruyko
  7. Simon S. Haykin
  8. Kaiming He
  9. Song Han
  10. J. Urgen Schmidhuber

Who trusts Shigeyuki Sakazawa overall

  1. Huili Chen
  2. Bita Darvish Rouhani
  3. Abhishek Chakraborty

Papers from Shigeyuki Sakazawa's perspective

Ordered by how strongly the researchers Shigeyuki Sakazawa 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. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Et al
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers