Ryutarou Ohbuchi

Computer Vision and Pattern Recognition · 2008–2015

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ryutarou Ohbuchi trusts overall

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

  1. David G. Lowe
  2. Dietmar Saupe
  3. Josef Sivic
  4. M. Kazhdan
  5. Andrew Zisserman
  6. Rob Fergus
  7. Ran Gal
  8. Varun Jain
  9. John M. Winn
  10. Philip Shilane

Who trusts Ryutarou Ohbuchi overall

  1. Yulan Guo
  2. Jason Rock
  3. Yue Gao
  4. Corey Goldfeder
  5. Ferdous Sohel
  6. Matei T. Ciocarlie
  7. Meng Wang
  8. Tanmay Gupta

Papers from Ryutarou Ohbuchi's perspective

Ordered by how strongly the researchers Ryutarou Ohbuchi 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers