Matthew Johnson

Computer Vision and Pattern Recognition · with Shotton · 2006–2021

A researcher in the Science corpus: 7 papers; trusts 397 researchers and is trusted by 1,088 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Johnson trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Kaiming He
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Li Fei-Fei
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Matthew Johnson overall

  1. Jiajun Wu
  2. Juergen Gall
  3. Pedro H. O. Pinheiro
  4. Sanja Fidler
  5. Luc Van Gool
  6. Liang-Chieh Chen
  7. Haonan Yu
  8. Tsz-Ho Yu
  9. Caiming Xiong
  10. Abhinav Kumar Gupta

Papers from Matthew Johnson's perspective

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

Their papers