Kohei Yamamoto

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 Kohei Yamamoto trusts overall

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

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

Who trusts Kohei Yamamoto overall

  1. Breton L. Minnehan
  2. Andreas Savakis

Papers from Kohei Yamamoto's perspective

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

Their papers