Toru Ogawa

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 218 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Toru Ogawa trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Tsung-Yi Lin
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. David G. Lowe
  7. Shaoqing Ren
  8. Andrew Zisserman
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Toru Ogawa overall

  1. Saeed Anwar
  2. Yong Guo
  3. Nick Barnes

Papers from Toru Ogawa's perspective

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

Their papers