Louis Kratz

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Louis Kratz trusts overall

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

  1. Lawrence R. Rabiner
  2. Neil Johnson
  3. Yuri Boykov
  4. Ernesto L. Andrade
  5. Vladimir Kolmogorov
  6. Raanan Fattal
  7. Robby T. Tan
  8. Srinivasa G. Narasimhan
  9. David C. Hogg
  10. Ramin Zabih

Who trusts Louis Kratz overall

  1. Yang Cong
  2. Waqas Sultani
  3. M. I. Oluwatoyin P. Popoola
  4. Mubarak Shah
  5. Junsong Yuan
  6. Cewu Lu
  7. Dan Xu
  8. Gowtham Atluri
  9. Yang Yang
  10. Visesh Chari

Papers from Louis Kratz's perspective

Ordered by how strongly the researchers Louis Kratz 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers