Ryuzo Okada

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ryuzo Okada trusts overall

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

  1. Victor S. Lempitsky
  2. Ke Chen
  3. Juergen Gall

Who trusts Ryuzo Okada overall

  1. Vishwanath A. Sindagi

Papers from Ryuzo Okada's perspective

Ordered by how strongly the researchers Ryuzo Okada 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Object Detection with Discriminatively Trained Part Based Models
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers