Paul Wilkin

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 7 papers; trusts 28 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Wilkin trusts overall

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

  1. Matthew D. Zeiler
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Rob Fergus
  5. Ilya Sutskever

Who trusts Paul Wilkin overall

  1. Andreas Kamilaris
  2. Jana Wäldchen

Papers from Paul Wilkin's perspective

Ordered by how strongly the researchers Paul Wilkin 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  10. Visualizing and Understanding Convolutional Networks

Their papers