Klaus Häming

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Klaus Häming trusts overall

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

  1. Ondřej Chum
  2. John F. Canny
  3. Adam Baumberg
  4. Christopher Evans
  5. Jianbo Shi
  6. Jiri Matas
  7. Arthur P. Dempster
  8. David G. Lowe
  9. Andrew Zisserman
  10. Carlo Tomasi

Who trusts Klaus Häming overall

  1. JunYoung Gwak
  2. Christopher Bongsoo Choy
  3. Mateusz Michalkiewicz
  4. Haoqiang Fan

Papers from Klaus Häming's perspective

Ordered by how strongly the researchers Klaus Häming 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers