Michael J. Cree

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 4 papers; trusts 75 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Cree trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Sergey Ioffe
  7. Tim Salimans
  8. Kaiming He
  9. Behnam Neyshabur
  10. Yann LeCun

Who trusts Michael J. Cree overall

  1. Muhammad Moazam Fraz

Papers from Michael J. Cree's perspective

Ordered by how strongly the researchers Michael J. Cree 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers