Simon Robert Arridge

Computer Vision and Pattern Recognition · 2005–2019

A researcher in the Science corpus: 8 papers; trusts 97 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Robert Arridge trusts overall

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

  1. Michael Elad
  2. Andrew M. Stuart
  3. Philip B. Stark
  4. E.J. Candes
  5. Tom Minka
  6. Geoffrey E. Hinton
  7. Yann LeCun
  8. Tal Schuster
  9. David A. Boas
  10. David L. Donoho

Who trusts Simon Robert Arridge overall

  1. Turgut Durduran
  2. Arjun G. Yodh
  3. Vasilis Ntziachristos

Papers from Simon Robert Arridge's perspective

Ordered by how strongly the researchers Simon Robert Arridge trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers