Akihiko Torii

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 7 papers; trusts 844 researchers and is trusted by 495 researchers here, as inferred from the citation graph.

Subfields

Whom Akihiko Torii trusts overall

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

  1. Andrew Zisserman
  2. Herv'e J'egou
  3. David G. Lowe
  4. Josef Sivic
  5. Relja Arandjelovi'c
  6. Cordelia Schmid
  7. Ondřej Chum
  8. Alex Krizhevsky
  9. Kaiming He
  10. Geoffrey E. Hinton

Who trusts Akihiko Torii overall

  1. Torsten Sattler
  2. Paul-Edouard Sarlin
  3. Hyo Jin Kim
  4. Eric Brachmann
  5. Relja Arandjelovi'c
  6. Stephen Hausler
  7. Florian Walch
  8. Josef Sivic
  9. Hajime Taira
  10. Marc Pollefeys

Papers from Akihiko Torii's perspective

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

Their papers