S. Satoh

Computer Vision and Pattern Recognition · International Conference on Multimedia Retrieval · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 191 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom S. Satoh trusts overall

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

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

Who trusts S. Satoh overall

  1. Huili Chen
  2. Bita Darvish Rouhani
  3. Mang Ye

Papers from S. Satoh's perspective

Ordered by how strongly the researchers S. Satoh 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers