Asako Kanezaki

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 304 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Asako Kanezaki trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Ilya Sutskever
  8. David G. Lowe
  9. Pedro F. Felzenszwalb
  10. Yoshua Bengio

Who trusts Asako Kanezaki overall

  1. Zhizhong Han
  2. Huili Huang
  3. Ishan Misra
  4. Saifullahi Aminu Bello
  5. Mohsen Yavartanoo
  6. Carlos Esteves
  7. Xinhai Liu
  8. Mikaela Angelina Uy
  9. Ankit Goyal
  10. Kyle Genova

Papers from Asako Kanezaki's perspective

Ordered by how strongly the researchers Asako Kanezaki 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