Masatoshi Okutomi

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 7 papers; trusts 534 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Masatoshi Okutomi trusts overall

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

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

Who trusts Masatoshi Okutomi overall

  1. Torsten Sattler
  2. Stephen Hausler
  3. Eric Brachmann
  4. Hyo Jin Kim
  5. Paul-Edouard Sarlin
  6. Stamatios Lefkimmiatis
  7. Marc Pollefeys
  8. Mihai Dusmanu
  9. Philipp Lindenberger
  10. Relja Arandjelovi'c

Papers from Masatoshi Okutomi's perspective

Ordered by how strongly the researchers Masatoshi Okutomi 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