Ryota Natsume

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 150 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Ryota Natsume trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Andrew Zisserman
  6. Jitendra Malik
  7. Ross B. Girshick
  8. Jia Deng
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Ryota Natsume overall

  1. Michael Niemeyer
  2. Zerong Zheng
  3. Julian Chibane
  4. Philipp Henzler

Papers from Ryota Natsume's perspective

Ordered by how strongly the researchers Ryota Natsume 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. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Et al
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers