Katsunori Ohnishi

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 157 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Katsunori Ohnishi trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Limin Wang
  4. Florent Perronnin
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Navneet Dalal
  8. Kaiming He
  9. David G. Lowe
  10. Yoshua Bengio

Papers from Katsunori Ohnishi's perspective

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

Their papers