Ken Nakayama

Computer Vision and Pattern Recognition · 1986–2014

A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Ken Nakayama trusts overall

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

  1. Marvin M. Chun
  2. Vidit Jain
  3. Navneet Dalal
  4. Paul A. Viola
  5. Andrea Vedaldi
  6. Yuhong Jiang
  7. Joseph Henrich
  8. Javier Portilla
  9. Irving Biederman
  10. Gordon D. Logan

Who trusts Ken Nakayama overall

  1. J. Wilmer
  2. Bruno Rossion
  3. Brandon RichardWebster
  4. Samuel E. Anthony
  5. Walter J. Scheirer
  6. S. Hershner
  7. Steven P. Gilbert
  8. Sylvain Chauvette
  9. Christian N. L. Olivers
  10. Joshua K. Hartshorne

Papers from Ken Nakayama's perspective

Ordered by how strongly the researchers Ken Nakayama trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Histograms of oriented gradients for human detection
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers