Miriam Schönbein

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Miriam Schönbein trusts overall

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

  1. Andreas Geiger
  2. Heiko Hirschmüller
  3. Raquel Urtasun
  4. Tamir Hazan
  5. Edward Rosten
  6. A. Neubeck
  7. Christopher Geyer
  8. Christopher Mei
  9. Davide Scaramuzza
  10. Michael Calonder

Who trusts Miriam Schönbein overall

  1. Ali O. Ulusoy
  2. Ekim Yurtsever
  3. Andreas Geiger
  4. Michael J. Black
  5. Jacob Lambert
  6. Jun Xie
  7. Fatma Güney
  8. Yiyi Liao
  9. Alexander Carballo

Papers from Miriam Schönbein's perspective

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

Their papers