Lukas Rybok

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lukas Rybok trusts overall

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

  1. Hema Swetha Koppula
  2. Pedro F. Felzenszwalb
  3. Navneet Dalal
  4. Thorsten Joachims
  5. Xiaofeng Ren
  6. Ivan Laptev
  7. Ashutosh Saxena
  8. Deva Ramanan
  9. Xiaodi Hou
  10. Ross Messing

Who trusts Lukas Rybok overall

  1. Jawad Tayyub

Papers from Lukas Rybok's perspective

Ordered by how strongly the researchers Lukas Rybok 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  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. Histograms of oriented gradients for human detection
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers