Katja Markert

Computer Vision and Pattern Recognition · 2005–2017

A researcher in the Science corpus: 4 papers; trusts 64 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Katja Markert trusts overall

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

  1. David G. Lowe
  2. Andrew Zisserman
  3. Christopher D. Manning
  4. Olga Veksler
  5. Li Fei-Fei
  6. Rob Fergus
  7. Alexandre Riazanov
  8. Li-Jia Li
  9. Geoffrey E. Hinton
  10. Ido Dagan

Who trusts Katja Markert overall

  1. Lasha Abzianidze
  2. Bill MacCartney
  3. Masatoshi Tsuchiya
  4. Christopher D. Manning
  5. Ion Androutsopoulos
  6. Yichen Gong
  7. Roy Bar-Haim
  8. Jiang Zhao
  9. Yang Liu
  10. Ning Xie

Papers from Katja Markert's perspective

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

Their papers