Kurato Maeno

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kurato Maeno trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Kaiming He
  5. François Chollet
  6. Vinod Nair
  7. Andrew Zisserman
  8. Yihui He
  9. Christian Szegedy
  10. X. Zhang

Who trusts Kurato Maeno overall

  1. Breton L. Minnehan
  2. Andreas Savakis

Papers from Kurato Maeno's perspective

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

Their papers