Kazuhito Koishida

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 207 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kazuhito Koishida trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Andrew Zisserman
  4. Kaiming He
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Individualized Treat
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Kazuhito Koishida overall

  1. Yunpeng Li

Papers from Kazuhito Koishida's perspective

Ordered by how strongly the researchers Kazuhito Koishida 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. 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. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers