Kazuma Sasaki

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 116 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kazuma Sasaki trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yann LeCun
  5. Diederik P. Kingma
  6. Matthew D. Zeiler
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Yoshua Bengio
  10. Alexey Dosovitskiy

Who trusts Kazuma Sasaki overall

  1. Felipe Codevilla
  2. Yi Xiao

Papers from Kazuma Sasaki's perspective

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

Their papers