Yasuyuki Matsushita

Computer Vision and Pattern Recognition · 2006–2017

A researcher in the Science corpus: 8 papers; trusts 435 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Yasuyuki Matsushita trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. David G. Lowe
  5. Karen Simonyan
  6. Yann LeCun
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. Alexei A. Efros
  10. Ross B. Girshick

Who trusts Yasuyuki Matsushita overall

  1. Xucong Zhang
  2. Erroll Wood
  3. Feng Liu
  4. Zhizhong Han
  5. Deqing Sun
  6. Tae Hyun Kim
  7. Johannes Peter Kopf
  8. Matthias Grundmann
  9. Simon Niklaus
  10. Chunwei Tian

Papers from Yasuyuki Matsushita's perspective

Ordered by how strongly the researchers Yasuyuki Matsushita 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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