Milan Sonka

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 12 papers; trusts 23 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Milan Sonka trusts overall

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

  1. Yuri Boykov
  2. Kaiming He
  3. Vladimir Kolmogorov
  4. Steven C. Mitchell
  5. Mona Kathryn Garvin
  6. David G. Lowe

Who trusts Milan Sonka overall

  1. Mona Kathryn Garvin
  2. Fatemeh Haghighat
  3. Michael David Abràmoff
  4. José Ignacio Orlando

Papers from Milan Sonka's perspective

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

Their papers