Kota Yamaguchi

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 8 papers; trusts 592 researchers and is trusted by 1,064 researchers here, as inferred from the citation graph.

Subfields

Whom Kota Yamaguchi trusts overall

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

  1. David G. Lowe
  2. Lubomir D. Bourdev
  3. Andrew Zisserman
  4. Yi Yang
  5. Jitendra Malik
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Deva Ramanan
  9. Kaiming He
  10. Svetlana Lazebnik

Who trusts Kota Yamaguchi overall

  1. Xiaodan Liang
  2. Bharath Hariharan
  3. Xiaohui Shen
  4. Tamara L. Berg
  5. Edgar Simo-Serra
  6. Ziwei Liu
  7. Liang Lin
  8. Ping Luo
  9. Sanja Fidler
  10. Ke Gong

Papers from Kota Yamaguchi's perspective

Ordered by how strongly the researchers Kota Yamaguchi 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. 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. 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