Norimichi Ukita

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 478 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Norimichi Ukita trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yann LeCun
  7. Yoshua Bengio
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. X. Zhang

Who trusts Norimichi Ukita overall

  1. Yulun Zhang
  2. Jinjin Gu
  3. Saeed Anwar
  4. Yong Guo
  5. Chao Dong
  6. Yochai Blau
  7. Jingyun Liang
  8. Kelvin C. K. Chan
  9. Xintao Wang
  10. Radu Timofte

Papers from Norimichi Ukita's perspective

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

Their papers