Hans Hardmeier

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 203 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hans Hardmeier trusts overall

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

  1. David G. Lowe
  2. Andrew Zisserman
  3. Herv'e J'egou
  4. Karen Simonyan
  5. Andrea Vedaldi
  6. Johannes L. Schönberger
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Cordelia Schmid
  10. Kaiming He

Who trusts Hans Hardmeier overall

  1. Jiayi Ma

Papers from Hans Hardmeier's perspective

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

Their papers