Kenji Hata

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 474 researchers and is trusted by 1,194 researchers here, as inferred from the citation graph.

Subfields

Whom Kenji Hata trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Li Fei-Fei
  5. Jia Deng
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Kenji Hata overall

  1. Jie Lei
  2. Rowan Zellers
  3. Zhe Gan
  4. Ronghang Hu
  5. Luowei Zhou
  6. Li Fei-Fei
  7. Mohit Bansal
  8. Linjie Li
  9. Ranjay Krishna
  10. Zhou Yu

Papers from Kenji Hata's perspective

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

Their papers