Iryna Skrypnyk

Computer Vision and Pattern Recognition · 2004

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Iryna Skrypnyk trusts overall

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

  1. David G. Lowe
  2. Frederik Schaffalitzky
  3. Andrew Zisserman
  4. Takeo Kanade

Who trusts Iryna Skrypnyk overall

  1. É. Marchand
  2. Steffen Gauglitz
  3. Hideaki Uchiyama
  4. Tobias Höllerer
  5. Iryna Gordon
  6. Daniel Wagner
  7. Gerhard Reitmayr
  8. Fabien Spindler
  9. Matthew A. Turk
  10. Vincent Lepetit

Papers from Iryna Skrypnyk's perspective

Ordered by how strongly the researchers Iryna Skrypnyk trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet: A large-scale hierarchical image database
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Going deeper with convolutions
  7. Object recognition from local scale-invariant features
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. An Iterative Image Registration Technique with an Application to Stereo Vision

Their papers