Michal Koperski

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Koperski trusts overall

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

  1. Heng Wang
  2. Herbert Bay
  3. Yang Zhao
  4. Zicheng Liu
  5. Alexander Kläser
  6. Andreas Ess
  7. Cordelia Schmid
  8. Omar Oreifej
  9. Simon Hadfield

Who trusts Michal Koperski overall

  1. Zelun Luo
  2. Boya Peng

Papers from Michal Koperski's perspective

Ordered by how strongly the researchers Michal Koperski 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers