Masatoshi Hidaka

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 Masatoshi Hidaka 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. Kaiming He
  8. Navneet Dalal
  9. David G. Lowe
  10. Yoshua Bengio

Papers from Masatoshi Hidaka's perspective

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

Their papers