Yuji Aramaki

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuji Aramaki trusts overall

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

  1. David G. Lowe
  2. Herv'e J'egou
  3. Kaiming He
  4. Andrew Zisserman
  5. Navneet Dalal
  6. Cordelia Schmid
  7. James Philbin
  8. Andrea Vedaldi
  9. Geoffrey E. Hinton
  10. Davis E. King

Who trusts Yuji Aramaki overall

  1. Yulun Zhang

Papers from Yuji Aramaki's perspective

Ordered by how strongly the researchers Yuji Aramaki 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 Large Scale Visual Recognition Challenge
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Histograms of oriented gradients for human detection
  10. Going deeper with convolutions

Their papers