Kazuya Takeda

Computer Vision and Pattern Recognition · 2007–2019

A researcher in the Science corpus: 16 papers; trusts 606 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Kazuya Takeda trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Yann LeCun
  10. Alex Graves

Who trusts Kazuya Takeda overall

  1. Ekim Yurtsever
  2. Junichi Yamagishi
  3. Takuma Okamoto
  4. Jacob Lambert
  5. Tomoki Hayashi
  6. Xin Eric Wang
  7. Ryuichi Yamamoto
  8. Yang Ai
  9. Eunwoo Song
  10. Lauri Juvela

Papers from Kazuya Takeda's perspective

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

Their papers