Martin Lauer

Computer Vision and Pattern Recognition · with Geiger · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 131 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Lauer trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Andreas Geiger
  4. Sebastian Thrun
  5. Antonio Torralba
  6. Pedro F. Felzenszwalb
  7. Ross B. Girshick
  8. Alex Krizhevsky
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Martin Lauer overall

  1. Shiyu Song
  2. Andreas Geiger
  3. Binh Yang
  4. Axel Sauer
  5. Adrien Gaidon
  6. Chenyi Chen
  7. Fatma Güney

Papers from Martin Lauer's perspective

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

Their papers