Mark Hasegawa-Johnson

Computer Vision and Pattern Recognition · 2008–2022

A researcher in the Science corpus: 21 papers; trusts 591 researchers and is trusted by 108 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Hasegawa-Johnson trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Jimmy Ba
  10. Alex Graves

Who trusts Mark Hasegawa-Johnson overall

  1. Ruohan Gao
  2. Aditya Arie Nugraha
  3. John R. Hershey
  4. Xiao-Lei Zhang
  5. Shinji Watanabe
  6. Deliang Wang
  7. Antoine Liutkus
  8. G. Huang
  9. Zixing Zhang
  10. Dong Yu

Papers from Mark Hasegawa-Johnson's perspective

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

Their papers