Tomoaki Yoshinaga

Computer Vision and Pattern Recognition · 2007–2021

A researcher in the Science corpus: 2 papers; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tomoaki Yoshinaga trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Shaoqing Ren
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jitendra Malik
  7. Georgia Gkioxari
  8. Ashish Vaswani
  9. Chris Leggetter
  10. Ilya Loshchilov

Papers from Tomoaki Yoshinaga's perspective

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

Their papers