Michal Havlena

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 271 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Havlena trusts overall

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

  1. David G. Lowe
  2. Noah Snavely
  3. Ondřej Chum
  4. Matthijs C. Dorst
  5. Andrew Zisserman
  6. Yunpeng Li
  7. James Philbin
  8. Josef Sivic
  9. Marius Muja
  10. Michal Jancosek

Who trusts Michal Havlena overall

  1. Jared Heinly
  2. Johannes L. Schönberger
  3. Jan-Michael Frahm
  4. Enrique Dunn

Papers from Michal Havlena's perspective

Ordered by how strongly the researchers Michal Havlena 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. Long Short-Term Memory
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers