Michal Perdoch

Computer Vision and Pattern Recognition · 2009–2011

A researcher in the Science corpus: 4 papers; trusts 516 researchers and is trusted by 736 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Perdoch trusts overall

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

  1. David G. Lowe
  2. Josef Sivic
  3. Ondřej Chum
  4. Andrew Zisserman
  5. James Philbin
  6. Herv'e J'egou
  7. Cordelia Schmid
  8. Antonio Torralba
  9. Krystian Mikolajczyk
  10. David Nistér

Who trusts Michal Perdoch overall

  1. Ondřej Chum
  2. Relja Arandjelovi'c
  3. Herv'e J'egou
  4. Liang Zheng
  5. Filip Radenovic
  6. Andrew Zisserman
  7. Efstratios Gavves
  8. Tobias Weyand
  9. Yi Yang
  10. Basura Fernando

Papers from Michal Perdoch's perspective

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

Their papers