Kazunori Okada

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Kazunori Okada trusts overall

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

  1. David G. Lowe
  2. Jianhua Lin
  3. Krystian Mikolajczyk
  4. Greg Mori
  5. Yan Ke
  6. Andrew E. Johnson
  7. M. Swain
  8. Jitendra Malik
  9. Yossi Rubner
  10. Longin Jan Latecki

Who trusts Kazunori Okada overall

  1. Ofir Pele
  2. Marco Cuturi
  3. Michael Werman
  4. G. Peyr'e
  5. François-Pierre Paty
  6. Carla Tameling
  7. Matt J. Kusner
  8. Zhou Ren

Papers from Kazunori Okada's perspective

Ordered by how strongly the researchers Kazunori Okada 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. Distinctive Image Features from Scale-Invariant Keypoints
  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. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers