Y. Ono

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 242 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Ono trusts overall

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

  1. David G. Lowe
  2. Diederik P. Kingma
  3. Kaiming He
  4. Karen Simonyan
  5. Andrea Vedaldi
  6. Andrew Zisserman
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Edward Rosten
  10. Dmitry Ulyanov

Who trusts Y. Ono overall

  1. Jiayi Ma
  2. Paul-Edouard Sarlin
  3. Xingyu Jiang
  4. Zachary Teed
  5. Zixin Luo
  6. Weiwei Sun
  7. Jiahui Zhang
  8. Axel Barroso Laguna
  9. Carl Doersch
  10. Mihai Dusmanu

Papers from Y. Ono's perspective

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

Their papers