Mathias Eitz

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 4 papers; trusts 246 researchers and is trusted by 235 researchers here, as inferred from the citation graph.

Subfields

Whom Mathias Eitz trusts overall

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

  1. David G. Lowe
  2. Josef Sivic
  3. Andrew Zisserman
  4. Antonio Torralba
  5. John F. Canny
  6. Aude Oliva
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Cordelia Schmid
  10. Kaiming He

Who trusts Mathias Eitz overall

  1. Yi-Zhe Song
  2. Arun Mallya
  3. Ming-Ming Cheng
  4. Anjan Dutta
  5. Qian Yu
  6. Ali Borji
  7. Qing Liu
  8. Ayan Kumar Bhunia
  9. Timothy M. Hospedales
  10. James Hays

Papers from Mathias Eitz's perspective

Ordered by how strongly the researchers Mathias Eitz trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers