Koichiro Yamaguchi

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 76 researchers and is trusted by 132 researchers here, as inferred from the citation graph.

Subfields

Whom Koichiro Yamaguchi trusts overall

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

  1. Andreas Geiger
  2. Heiko Hirschmüller
  3. Radhakrishna Achanta
  4. Raquel Urtasun
  5. Carlo Tomasi
  6. Pablo Arbeláez
  7. Andreas Klaus
  8. Derek Hoiem
  9. Li Hong
  10. Christoph Vogel

Who trusts Koichiro Yamaguchi overall

  1. Andreas Geiger
  2. Fatma Güney
  3. Moritz Menze
  4. Joel Janai
  5. Raquel Urtasun
  6. Jure Zbontar
  7. Xiaozhi Chen
  8. Wenjie Luo
  9. Alexander Gerhard Schwing
  10. Yiyi Liao

Papers from Koichiro Yamaguchi's perspective

Ordered by how strongly the researchers Koichiro Yamaguchi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers