Martin Storath

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Storath trusts overall

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

  1. Diederik P. Kingma
  2. John F. Canny
  3. Geoffrey E. Hinton
  4. Taco Cohen
  5. E.J. Candes
  6. Kaiming He
  7. William T. Freeman
  8. Alex Krizhevsky
  9. Max Welling
  10. Sergey Ioffe

Who trusts Martin Storath overall

  1. Erik J. Bekkers
  2. Daniel E. Worrall
  3. David W. Romero
  4. Maurice Weiler
  5. Taco Cohen
  6. Nichita Diaconu
  7. Osman Semih Kayhan

Papers from Martin Storath's perspective

Ordered by how strongly the researchers Martin Storath 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  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