Zorah Lähner

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zorah Lähner trusts overall

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

  1. A. Bronstein
  2. Marius Leordeanu
  3. Martin Reuter
  4. Dimitri P. Bertsekas
  5. Federica Bogo
  6. Hang Su
  7. Michael M. Bronstein
  8. Mathias Eitz
  9. Martial Hebert
  10. Jonathan Richard Shewchuk

Papers from Zorah Lähner's perspective

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

Their papers