Stuart Crozier

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Stuart Crozier trusts overall

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

  1. A. Buades
  2. Diederik P. Kingma

Who trusts Stuart Crozier overall

  1. Michael Poole

Papers from Stuart Crozier's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. GENERATIVE ADVERSARIAL NETS
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Image-to-Image Translation with Conditional Adversarial Networks
  6. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  7. Improved Training of Wasserstein GANs
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers