Masaki Aono

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 5 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masaki Aono trusts overall

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

  1. David G. Lowe
  2. Josef Sivic
  3. Li Fei-Fei
  4. Andrew Zisserman
  5. Philip Shilane
  6. Thomas A. Funkhouser
  7. Florent Perronnin
  8. Subramaniam Jayanti
  9. M. Kazhdan
  10. Raoul Wessel

Who trusts Masaki Aono overall

  1. Xingchao Peng
  2. Laura Downs

Papers from Masaki Aono's perspective

Ordered by how strongly the researchers Masaki Aono trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers