Yoichi Sato

Computer Vision and Pattern Recognition · 2011–2023

A researcher in the Science corpus: 13 papers; trusts 1,058 researchers and is trusted by 156 researchers here, as inferred from the citation graph.

Subfields

Whom Yoichi Sato trusts overall

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

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

Who trusts Yoichi Sato overall

  1. Xucong Zhang
  2. Yin Li
  3. Kristen Grauman
  4. Erroll Wood
  5. Yusuke Sugano
  6. Liang Zheng
  7. Zhedong Zheng
  8. Chung-Ching Lin
  9. Yong Jae Lee
  10. Fanqing Lin

Papers from Yoichi Sato's perspective

Ordered by how strongly the researchers Yoichi Sato 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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