Karel Lebeda

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 5 papers; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Karel Lebeda trusts overall

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

  1. Clive W. J. Granger
  2. Ming-Hsuan Yang
  3. Simon Justin Julier
  4. R. Scott Hacker
  5. Amy Sue Fire
  6. Boris Babenko
  7. Helmut Grabner
  8. Karl J. Friston
  9. Alper Yilmaz
  10. Huchuan Lu

Who trusts Karel Lebeda overall

  1. David Lopez-Paz
  2. Robert Nishihara

Papers from Karel Lebeda's perspective

Ordered by how strongly the researchers Karel Lebeda 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers