Masayuki Karasuyama

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Masayuki Karasuyama trusts overall

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

  1. Trevor J. Hastie
  2. Sam T. Roweis
  3. Lawrence K. Saul
  4. Chih-Jen Lin
  5. David Ruppert
  6. Jerome H. Friedman
  7. Gert Cauwenberghs
  8. Lihi Zelnik-Manor
  9. Fei Wang
  10. Bradley Efron

Who trusts Masayuki Karasuyama overall

  1. Hongwei Wang
  2. Joachim Giesen
  3. Anton Osokin
  4. Chen Gong
  5. Jure Leskovec
  6. Jens K. Müller
  7. Jean-Baptiste Alayrac
  8. Dacheng Tao
  9. Fuzheng Zhang
  10. Sören Laue

Papers from Masayuki Karasuyama's perspective

Ordered by how strongly the researchers Masayuki Karasuyama 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. Learning Multiple Layers of Features from Tiny Images
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers