Keisuke Tateno

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Keisuke Tateno trusts overall

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

  1. David Eigen
  2. Kaiming He
  3. Jakob J. Engel
  4. Rob Fergus
  5. Derek Hoiem
  6. Richard A. Newcombe
  7. Georg S. W. Klein
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Jürgen Sturm

Who trusts Keisuke Tateno overall

  1. Nan Yang
  2. Chengzhou Tang
  3. Peter Karkus
  4. Jamie Watson
  5. Michael Bloesch
  6. Shuzhe Wang
  7. Xieyuanli Chen
  8. Stefan Milz
  9. Antoni Rosinol
  10. Peng Wang

Papers from Keisuke Tateno's perspective

Ordered by how strongly the researchers Keisuke Tateno 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. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers