Alfred Michael Franz

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Alfred Michael Franz trusts overall

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

  1. Andrew D. Wiles
  2. Kaiming He
  3. David G. Thompson
  4. Philipp Krahenbuhl

Who trusts Alfred Michael Franz overall

  1. J. Urgen Schmidhuber

Papers from Alfred Michael Franz's perspective

Ordered by how strongly the researchers Alfred Michael Franz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers