Yasuo Kuniyoshi

Computer Vision and Pattern Recognition · 1994–2020

A researcher in the Science corpus: 12 papers; trusts 291 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yasuo Kuniyoshi trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky
  3. Florent Perronnin
  4. Geoffrey E. Hinton
  5. Rob Fergus
  6. Jorge Sánchez
  7. Sergey Levine
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Yasuo Kuniyoshi overall

  1. Manuel Lopes
  2. Aude Gemma Billard
  3. Monica N. Nicolescu
  4. D. M. Wolpert
  5. Sylvain Calinon
  6. Pieter Abbeel
  7. Laura M. Smith
  8. Rüdiger Dillmann
  9. Jun Tani
  10. Stefan Schaal

Papers from Yasuo Kuniyoshi's perspective

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

Their papers