Nori Kanazawa

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 151 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Nori Kanazawa trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Mykhaylo Andriluka
  6. Leonid Pishchulin
  7. Andrew Zisserman
  8. Alex Krizhevsky
  9. Shaoqing Ren
  10. Pedro F. Felzenszwalb

Who trusts Nori Kanazawa overall

  1. Bin Xiao

Papers from Nori Kanazawa's perspective

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

Their papers