Kota Ito

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kota Ito trusts overall

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

  1. David G. Lowe
  2. Herv'e J'egou
  3. Kaiming He
  4. Andrew Zisserman
  5. Navneet Dalal
  6. Cordelia Schmid
  7. James Philbin
  8. Andrea Vedaldi
  9. Geoffrey E. Hinton
  10. Davis E. King

Who trusts Kota Ito overall

  1. Yulun Zhang
  2. Yong Guo
  3. Jinjin Gu
  4. Jie Liu
  5. Zongsheng Yue
  6. Xiangyu Chen

Papers from Kota Ito's perspective

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

Their papers