Hiroki Nishimura

Computer Vision and Pattern Recognition · with Sato · 2015

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroki Nishimura trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Dan Claudiu Ciresan
  5. Ilya Sutskever
  6. Matthew D. Zeiler
  7. Yoshua Bengio
  8. J. Urgen Schmidhuber
  9. Kaiming He
  10. Li Wan

Who trusts Hiroki Nishimura overall

  1. Yahia Saeed Assiri
  2. Raphael Gontijo Lopes
  3. Ekin Dogus Cubuk
  4. Kenji Kawaguchi
  5. Seyyed Hossein HasanPour
  6. Sylvia J. Smullin
  7. Tianmei Guo
  8. Daniel E. Ho
  9. Sungbin Lim
  10. Barret Zoph

Papers from Hiroki Nishimura's perspective

Ordered by how strongly the researchers Hiroki Nishimura trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Going deeper with convolutions
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers